IJCNN 2006: Vancouver, BC, Canada

Neural Hardware I

• Johannes Schemmel, Andreas Grübl, Karlheinz Meier, Eilif Mueller:
  Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model. 1-6
  
• Eric K. C. Tsang, Bertram Emil Shi:
  Active Binocular Gaze Control Inspired by Superior Colliculus. 7-14
  
• Ocean Y. H. Cheung, Philip Heng Wai Leong, Eric K. C. Tsang, Bertram Emil Shi:
  A Scalable FPGA Implementation of Cellular Neural Networks for Gabor-type Filtering. 15-20
  
• Johannes Fieres, Johannes Schemmel, Karlheinz Meier:
  Training convolutional networks of threshold neurons suited for low-power hardware implementation. 21-28
  
• Liang Zhang, Joaquin Sitte:
  Local Cluster Neural Network On-chip Training. 29-34
  
• Ming Z. Zhang, Ming-Jung Seow, Vijayan K. Asari:
  A Hardware Architecture for Color Image Enhancement Using a Machine Learning Approach with Adaptive Parameterization. 35-40
  

Reinforcement Learning Theory I

• Jelmer van Ast, Robert Babuska:
  Dynamic Exploration in Q(lambda)-learning. 41-46
  
• Xiaolong Ma, Konstantin Likharev:
  Global Reinforcement Learning in Neural Networks with Stochastic Synapses. 47-53
  
• Johane Takeuchi, Osamu Shouno, Hiroshi Tsujino:
  Connectionist Reinforcement Learning with Cursory Intrinsic Motivations and Linear Dependencies to Multiple Representations. 54-61
  
• Thaddeus T. Shannon:
  Qualitative Adaptive Critics. 62-67
  
• Ju Jiang, Mohamed S. Kamel:
  Aggregation of Reinforcement Learning Algorithms. 68-72
  
• Jan Peters, Stefan Schaal:
  Reinforcement Learning for Parameterized Motor Primitives. 73-80
  

Neuroinformatics

• Vicenç Gómez, Andreas Kaltenbrunner, Vicente López:
  Event modeling of message interchange in stochastic neural ensembles. 81-88
  
• Fernando Buarque de Lima Neto, Philippe De Wilde:
  Venn-like models of neo-cortex patches. 89-96
  
• Antony Browne:
  Using Neural Networks with Automatic Relevance Determination to Identify Regions of the Thalamus Implicated in Schizophrenia. 97-101
  
• Marc de Kamps:
  An analytic solution of the reentrant Poisson master equation and its application in the simulation of large groups of spiking neurons. 102-109
  
• Thierry Viéville, Pierre Kornprobst:
  Modeling Cortical Maps with Feed-Backs. 110-117
  
• Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana D. de Lima, Thomas B. Voigt:
  Simulation of young neocortical networks by spatially coupled oscillators. 118-122
  

Learning in Kernel Methods

• Kaan Ataman, W. Nick Street, Yi Zhang:
  Learning to Rank by Maximizing AUC with Linear Programming. 123-129
  
• Olutayo O. Oladunni, Theodore B. Trafalis:
  A Pairwise Reduced Kernel-based Multi-classification Tikhonov Regularization Machine. 130-137
  
• Carlos Alzate, Johan A. K. Suykens:
  A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods. 138-144
  
• Roland Vollgraf, Klaus Obermayer:
  Sparse Optimization for Second Order Kernel Methods. 145-152
  
• Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori:
  The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator. 153-158
  
• Ping Sun, Xin Yao:
  Greedy forward selection algorithms to Sparse Gaussian Process Regression. 159-165
  

Neural Modeling of Emotion

• Jia-Jun Wong, Siu-Yeung Cho:
  Recognizing Human Emotion from Partial Facial Features. 166-173
  
• Nickolaos F. Fragopanagos, Nienke J. H. Korsten, John G. Taylor:
  A neural model of the enhancement of perception caused by emotional cues. 174-180
  
• Bing Lu, Walter M. Yamada, Theodore W. Berger:
  Nonlinear Queuing Model for Dynamic Synapse with Multiple Transmitter Pools. 181-187
  
• Steven L. Bressler, Craig G. Richter, Yonghong Chen, Mingzhou Ding:
  Top-Down Cortical Influences in Visual Expectation. 188-194
  
• Daniel S. Levine:
  Emotion and Decision Making: Short-term Reactions versus Long-term Evaluations. 195-202
  

Complex-Valued Neural Networks I

• Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima:
  A Study on Learning with a Quantum Neural Network. 203-206
  
• Gerasimos G. Rigatos:
  Energy spectrum of quantum associative memories. 207-212
  
• Yasuaki Kuroe, Yuriko Taniguchi:
  Models of Self-Correlation Type Complex-Valued Associative Memories and Their Performance Comparison. 213-217
  
• Teijiro Isokawa, Haruhiko Nishimura, Naotake Kamiura, Nobuyuki Matsui:
  Fundamental Properties of Quaternionic Hopfield Neural Network. 218-223
  
• Katsuhiro Mori, Teijiro Isokawa, Noriaki Kouda, Nobuyuki Matsui, Haruhiko Nishimura:
  Qubit Inspired Neural Network towards Its Practical Applications. 224-229
  
• George M. Georgiou:
  Exact Interpolation and Learning in Quadratic Neural Networks. 230-234
  

Reinforcement Learning Theory II

• Nancy Fulda, Dan Ventura:
  Learning a Rendezvous Task with Dynamic Joint Action Perception. 235-240
  
• Mohammad G. Azar, Majid Nili Ahmadabadi, Amir Massoud Farahmand, Babak Nadjar Araabi:
  Learning to Coordinate Behaviors in Soft Behavior-Based Systems Using Reinforcement Learning. 241-248
  
• Krishna P. Miyapuram, Raju S. Bapi, Chandrasekhar V. S. Pammi, Ahmed, Kenji Doya:
  Hierarchical Chunking during Learning of Visuomotor Sequences. 249-253
  
• Maryam Shokri, Hamid R. Tizhoosh, Mohamed Kamel:
  Opposition-Based Q(lambda) Algorithm. 254-261
  
• Myriam Abramson, William Chao, Ranjeev Mittu:
  Training Coordination Proxy Agents. 262-269
  
• Nicolas Brodu:
  Learning using Dynamical Regime Identification and Synchronization. 270-276
  

Neuroscience & Computational Neuroscience I

• Abraham K. Ishihara, Johan van Doornik, Terence D. Sanger:
  Failure Modes in Feedback Error Learning. 277-284
  
• Karina Odinaev, Igal Raichelgauz, Yehoshua Y. Zeevi:
  Cliques in Neural Ensembles as Perception Carriers. 285-292
  
• Atsuo Suemitsu, Masahiko Morita:
  Neural Network Model of Context-Dependent Neuronal Activity in Inferotemporal Cortex. 293-298
  
• Alan Rosen, David B. Rosen:
  A Neural Network Model of the Connectivity of the Biological Somatic Sensors. 299-306
  
• Rolf Eckmiller, Oliver Baruth, Dirk Neumann:
  On Human Factors for Interactive Man-Machine Vision: Requirements of the Neural Visual System to transform Objects into Percepts. 307-311
  
• Lennart Gustafsson, Andrew P. Paplinski:
  Bimodal Integration of Phonemes and Letters: an Application of Multimodal Self-Organizing Networks. 312-318
  

Support Vector Machines & Kernel Methods I

• Masayuki Karasuyama, Daisuke Kitakoshi, Ryohei Nakano:
  Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error. 319-326
  
• Tao Ban, Shigeo Abe:
  Implementing Multi-class Classifiers by One-class Classification Methods. 327-332
  
• D. Lai, Nallasamy Mani, Marimuthu Palaniswami:
  An inexact penalty method for the semiparametric Support Vector Machine classifier. 333-338
  
• Leonardo V. Ferreira, Eugenius Kaszkurewicz, Amit Bhaya:
  Parallel Implementation of Gradient-Based Neural Networks for SVM Training. 339-346
  
• Stefan Lessmann, Sven F. Crone, Robert Stahlbock:
  An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning. 347-354
  
• Jun Guo, Norikazu Takahashi, Tetsuo Nishi:
  Convergence Proof of a Sequential Minimal Optimization Algorithm for Support Vector Regression. 355-362
  

Neurodynamics of Higher-Level Cognitive Behavior I

• J. A. Scott Kelso, Emmanuelle Tognoli:
  Metastability in the brain. 363-368
  
• Walter J. Freeman, Giuseppe Vitiello:
  Exploration of relations between many-body field theory and the nonlinear brain dynamics that underlies cognitive behavior. 369-376
  
• Leonid I. Perlovsky:
  Neural Dynamic Logic of Consciousness: the Knowledge Instinct. 377-383
  
• Steven L. Bressler, Craig G. Richter, Yonghong Chen, Mingzhou Ding:
  Top-Down Cortical Influences in Visual Expectation. 384-390
  

Biometrics: Algorithms, Architectures & Applications I

• Yuheng Zhang, Qinghan Xiao:
  An Optimized Approach for Fingerprint Binarization. 391-395
  
• Deepak Mishra, Abhishek Yadav, Ashutosh Dwivedi, Prem Kumar Kalra:
  A Neural Network Using Single Multiplicative Spiking Neuron for Function Approximation and Classification. 396-403
  
• Wen-Chang Cheng:
  Neural-Network-Based Photometric Stereo for 3D Surface Reconstruction. 404-410
  

Towards Human-Level Intelligence

• James A. Anderson, Paul Allopenna:
  The Ersatz Brain Project: Neural Inspiration, Cognitive Application. 411-418
  
• Robert Hecht-Nielsen:
  The Mechanism of Thought. 419-426
  
• L. Andrew Coward:
  Constraints on the Design Process for Systems with Human Level Intelligence. 427-434
  
• Wlodzislaw Duch:
  Computational Creativity. 435-442
  
• Alexei V. Samsonovich, Giorgio A. Ascoli, Kenneth A. De Jong:
  Computational Assessment of the 'Magic' of Human Cognition. 443-450
  
• Ben Goertzel:
  Patterns, Hypergraphs and Embodied General Intelligence. 451-458
  

Complex-Valued Neural Networks II

• Ikuko Nishikawa, Takeshi Iritani, Kazutoshi Sakakibara:
  Improvements of the Traffic Signal Control by Complex-Valued Hopfield Networks. 459-464
  
• Zhe Chen, Jinwen Ma:
  Contrast Functions for Non-circular and Circular Sources Separation in Complex-Valued ICA. 465-472
  
• Igor N. Aizenberg, Dmitriy Paliy, Jaakko Astola:
  Multilayer Neural Network based on Multi-Valued Neurons and the Blur Identification Problem. 473-480
  
• Andriyan Bayu Suksmono, Astri Handayani, Akira Hirose:
  Snake in Phase Domain: A Method for Boundary Detection of Objects in Phase Images. 481-485
  
• Howard E. Michel, Abdul Ahad S. Awwal, David Rancour:
  Artificial Neural Networks Using Complex Numbers and Phase Encoded Weights—Electronic and Optical Implementations. 486-491
  
• Akira Hirose, Tomoaki Higo, Ken Tanizawa:
  Holographic Three-Dimensional Movie Generation with Frame Interpolation Using Coherent Neural Networks. 492-497
  

Reinforcement Learning Applications

• Eric A. Antonelo, Albert-Jan Baerveldt, Thorsteinn S. Rögnvaldsson, Mauricio Figueiredo:
  Modular Neural Network and Classical Reinforcement Learning for Autonomous Robot Navigation: Inhibiting Undesirable Behaviors. 498-505
  
• Roman Ilin, Robert Kozma, Paul J. Werbos:
  Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP. 506-510
  
• Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama:
  A Reinforcement Learning Framework for Medical Image Segmentation. 511-517
  
• Hossein Javaherian, Derong Liu, Olesia Kovalenko:
  Automotive Engine Torque and Air-Fuel Ratio Control Using Dual Heuristic Dynamic Programming. 518-525
  
• Jan Eriksson, Alessandro E. P. Villa:
  Artificial Neural Networks simulation of learning of auditory equivalence classes for vowels. 526-533
  
• Jian Li, Laiwan Chan:
  Reward Adjustment Reinforcement Learning for Risk-averse Asset Allocation. 534-541
  

Neuroscience & Computational Neuroscience II

• Huaien Luo, Sadasivan Puthusserypady:
  NARX Neural Networks for Dynamical Modelling of fMRI Data. 542-546
  
• Nathan A. Dunn, Jonathan T. Pierce-Shimomura, John S. Conery, Shawn R. Lockery:
  Clustered Neural Dynamics Identify Motifs for Chemotaxis in Caenorhabditis elegans. 547-554
  
• Hiroyuki Kambara, Kyoungsik Kim, Duk Shin, Makoto Sato:
  Motor Control-Learning Model for Reaching Movements. 555-562
  
• Thierry Viéville:
  About biologically plausible trajectory generators. 563-572
  
• Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma:
  Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method. 573-580
  
• Il Park, Dongming Xu, Thomas B. DeMarse, Jose C. Principe:
  Modeling of Synchronized Burst in Dissociated Cortical Tissue: An Exploration of Parameter Space. 581-586
  

Support Vector Machines & Kernel Methods II

• Boyang Li, Jinglu Hu, Kotaro Hirasawa, Pu Sun, Marko Marko:
  Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification. 587-592
  
• Jayadeva, Reshma Khemchandani, Suresh Chandra:
  Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting. 593-598
  
• Jiyoung Sun, Sungzoon Cho:
  Pattern Selection for Support Vector Regression based on Sparseness and Variability. 599-602
  
• Shian-Chang Huang, Tung-Kuang Wu:
  Wavelet-Based Relevance Vector Machines for Stock Index Forecasting. 603-609
  
• Matthew Boardman, Thomas P. Trappenberg:
  A Heuristic for Free Parameter Optimization with Support Vector Machines. 610-617
  
• Andrea Boni, Alessandro Zorat:
  FPGA Implementation of Support Vector Machines with Pseudo-Logarithmic Number Representation. 618-624
  

Neurodynamics of Higher-Level Cognitive Behavior II

• Daniel S. Levine:
  Modeling the Evolution of Decision Rules in the Human Brain. 625-631
  
• Robert Kozma:
  Influence of Criticality on 1/f^alphaSpectral Characteristics of Cortical Neuron Populations. 632-637
  
• Colin Molter, Utku Salihoglu, Hugues Bersini:
  How to prevent spurious data in a chaotic brain. 638-644
  
• Emílio Del Moral Hernandez:
  Fragmented Basins of Attraction of Recursive Processing Elements in Associative Neural Networks and its Impact on Pattern Recovery Performance. 645-652
  
• Jin Zhang, Guang Li, Walter J. Freeman:
  Application of Novel Chaotic Neural Networks to Mandarin Digital Speech Recognition. 653-658
  
• José Luis Rosselló, Sebastià A. Bota, Vicens Canals, Ivan de Paúl, Jaume Segura:
  A Fully CMOS Low-Cost Chaotic Neural Network. 659-663
  

Biometrics: Algorithms, Architectures & Applications II

• S. Nalin Pradeep, Mayur D. Jain, C. Prakash, Raman Balasubramanian:
  Palmprint Recognition: Two level Structure Matching. 664-669
  
• Robert Paquet, Abbas Z. Kouzani:
  Advances in 3D-Based Face Recognition. 670-675
  
• Svetlana N. Yanushkevich:
  Synthetic Biometrics: A Survey. 676-683
  
• Stephane Armand, Michael Blumenstein, Vallipuram Muthukkumarasamy:
  Off-line Signature Verification using the Enhanced Modified Direction Feature and Neural-based Classification. 684-691
  
• Youngchan Han, Jungwoo Nam, Nohjun Park, Hakil Kim:
  Resolution and Distortion Compensation based on Sensor Evaluation for Interoperable Fingerprint Recognition. 692-698
  
• Mosaab Daoud, Stefan C. Kremer:
  Neural and Statistical Classification to Families of Bio-sequences. 699-704
  

Fuzzy Neural Networks

• Richard Jayadi Oentaryo, Michel Pasquier:
  GENSOFNN-YAGER: A Novel Hippocampus-like Learning Memory System Realizing Yager Inference. 705-712
  
• Dipti Srinivasan, Saptak Sanyal, Woei Wan Tan:
  Hybrid Neuro-Fuzzy Technique for Automated Traffic Incident Detection. 713-719
  
• Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie:
  Experiments with Safe ARTMAP and Comparisons to Other ART Networks. 720-727
  
• Shuangwen Sheng, Robert X. Gao:
  Optimization of ANFIS with Applications in Machine Defect Severity Classification. 728-734
  
• Chin-Ming Hong, Chin-Ming Chen, Shyuan-Yi Chen, Chao-Yen Huang:
  A Novel and Efficient Neuro-Fuzzy Classifier for Medical Diagnosis. 735-741
  
• Kai Keng Ang, Chai Quek:
  Rough set-based neuro-fuzzy system. 742-749
  

Posters

• Seiji Miyoshi, Masato Okada:
  Statistical Mechanics of Online Learning for Ensemble Teachers. 750-755
  
• Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa:
  Training Radial Basis Functions by Gradient Descent. 756-762
  
• Sana'a W. Al-Sayegh:
  Hybrid Neural Network. 763-770
  
• Yingfeng Wang, Xiaoqin Zeng:
  Using a Sensitivity Measure to Improve Training Accuracy and Convergence for Madalines. 771-777
  
• Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sarti, Franco Scarselli, Marco Maggini, Marco Gori:
  A Comparison between Recursive Neural Networks and Graph Neural Networks. 778-785
  
• Jing Li, Bao-Liang Lu:
  A New Supervised Clustering Algorithm Based on Min-Max Modular Network with Gaussian-Zero-Crossing Functions. 786-793
  
• Wieslaw Sienko, Dariusz Zamojski:
  Hamiltonian Neural Networks Based Classifiers and Mappings. 794-798
  
• Ming Dong, Jing Wu:
  Localized Support Vector Machines for Classification. 799-805
  
• Hazem M. El-Bakry, Qiangfu Zhao:
  Fast Neural Implementation of PCA for Face Detection. 806-811
  
• Chee Wee Phua, Alan Blair:
  An Improved Minibrain That Learns Through Both Positive and Negative Feedback. 812-819
  
• Seungtaek Kim, Sungzoon Cho:
  Prototype based outlier detection. 820-826
  
• Jianchuan Yin, Fang Dong, Nini Wang:
  A Novel Sequential Learning Algorithm for RBF Networks and Its Application to Dynamic System Identification. 827-834
  
• Salvatore Calcagno, Antonino Greco, Francesco Carlo Morabito, Mario Versaci:
  A Comparison between Soft Computing and Statistic Approaches to Identify Plasma Columns in Tokamak Reactors. 835-842
  
• Juha Karhunen, Tomas Ukkonen:
  Generalizing Independent Component Analysis for Two Related Data Sets. 843-850
  
• Erika Coppola, Barbara Tomassetti, Marco Verdecchia, Frank S. Marzano, Guido Visconti:
  Small-catchment flood forecasting and drainage network extraction using computational intelligence. 851-858
  
• S. Mohammad Sadeghzadeh, Meghdad Ansarian:
  Neuro-Fuzzy Control of SSSC and SMES for Transient Stability Improvement of Power System Transmission Lines. 859-863
  
• Huilan Jiang, Tangsheng Liu, Mengbin Wang:
  Direct Estimation of Fault Tolerance of Feed Forward Neural Networks in Pattern Recognition. 864-869
  
• Jianghua Bao, Paul W. Munro:
  Structural Mapping with Identical Elements Neural Network. 870-874
  
• Narri Yadaiah, Lakshman Singh, Raju S. Bapi, V. Seshagiri Rao, Bulusu Lakshmana Deekshatulu, Atul Negi:
  MultisensorData Fusion Using Neural Networks. 875-881
  
• Ahmad Banakar, Mohammad Fazle Azeem:
  Generalized Wavelet Neural Network Model and its Application in Time Series Prediction. 882-886
  
• Ana M. González, José R. Dorronsoro:
  A Note on Conjugate Natural Gradient Training of Multilayer Perceptrons. 887-891
  
• Giuseppe Acciani, Gioacchino Brunetti, Ernesto Chiarantoni, Girolamo Fornarelli:
  Automatic Evaluation of Flaws in Pipes by means of Ultrasonic Waveforms and Neural Networks. 892-898
  
• Robert X. Gao, Changting Wang, Ruqiang Yan, Arnaz Malhi:
  A Neural Network Approach to Bearing Health Assessment. 899-906
  
• Justin Bray, Brijesh Verma, Xue Li, Wade He:
  A Neural Network based Technique for Automatic Classification of Road Cracks. 907-912
  
• Rozaida Ghazali, Abir Jaafar Hussain, Wael El-Deredy:
  Application of Ridge Polynomial Neural Networks to Financial Time Series Prediction. 913-920
  
• Sai-Ho Ling, F. H. Frank Leung, Hak-Keung Lam:
  A Variable Node-to-Node-Link Neural Network and Its Application to Hand-Written Recognition. 921-928
  
• Tiago V. Barra, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben:
  An Immunological Density-Preserving Approach to the Synthesis of RBF Neural Networks for classification. 929-935
  
• Cuimei Bo, Zhiquan Wang, Jinguo Lin, Shi Zhang, Guangming Zhang:
  The Online Models based Fault Tolerant Control for Multiple Sensor Fault of Multi-variable Nonlinear Processes. 936-943
  
• Elham Bavafa, Mohammad Javad Yazdanpanah:
  Image Compression using an Enhanced Self Organizing Map Algorithm with Vigilance Parameter. 944-949
  
• Haruna Matsushita, Yoshifumi Nishio:
  Tentacled Self-Organizing Map for Effective Data Extraction. 950-957
  
• John Hammond, Daniel MacClean, Iren Valova:
  A Parallel Implementation of a Growing SOM Promoting Independent Neural Networks over Distributed Input Space. 958-965
  
• Simon O'Keefe:
  SOM-Based Sparse Binary Encoding for AURA Classifier. 966-972
  
• Cihan Oguz, Martha A. Gallivan:
  Identification of a Dynamic Model for a Thin Film Deposition Process using a Self-Organizing Map. 973-980
  
• Yangsheng Chen, Gangfeng Yan:
  Multi-Sensors Data Tracking Fusion Based on a Neural Network Filter. 981-984
  
• Hsin-Chang Yang, Chung-Hong Lee:
  NaviSOM: Automatic Construction of Navigational Structure for Web Pages using Self-organizing Maps. 985-992
  
• Gilles Hermann, Patrice Wira, Jean-Philippe Urban:
  Bi-directional Modularity to Learn Visual Servoing Tasks. 993-1000
  
• Hikaru Mogami, Masahiko Otake, Naoki Kouno, Yuko Osana:
  Self-Organizing Map with Refractoriness and Its Application to Image Retrieval. 1001-1006
  
• Hamed Shah-Hosseini:
  The Time Adaptive Self-Organizing Map is a Neural Network Based on Artificial Immune System. 1007-1014
  
• Zhigang Zeng, Jun Wang:
  Synthesis of Bipolar Associative Memories Based on Cellular Neural Networks with Two-dimensional Space-invariant Templates. 1015-1020
  
• Ivo Petras:
  A Note on the Fractional-Order Cellular Neural Networks. 1021-1024
  
• Anke Meyer-Bäse, Vera Thümmler, Fabian J. Theis:
  Stability Analysis of an Unsupervised Competitive Neural Network. 1025-1028
  
• Anke Meyer-Bäse, R. Roberts, S. Joshi:
  Robust Stability Analysis of a Class of Noise Perturbed Two-Time Scale Neural Networks. 1029-1032
  
• Dong-Shong Liang, Yaw-Hwang Chen, Chun-Min Wen, Chun-Da Tu, Kwang-Jow Gan, Cher-Shiung Tsai:
  The Design of MOS-NDR-Based Cellular Neural Network. 1033-1035
  
• Xiaodong Gu:
  A New Approach to Image Authentication using Local Image Icon of Unit-linking PCNN. 1036-1041
  
• Narri Yadaiah, G. Sowmya:
  Neural Network Based State Estimation of Dynamical Systems. 1042-1049
  
• David Verstraeten, Benjamin Schrauwen, Dirk Stroobandt:
  Reservoir-based techniques for speech recognition. 1050-1053
  
• ZhiHang Chen, Chengwen Ni, Yi Lu Murphey:
  Neural Network Approaches for Text Document Categorization. 1054-1060
  
• Mohammad Fazle Azeem, Ahmad Banakar, Vinod Kumar:
  Comparative Study of Different Types of Wavelet Functions in Neural Network. 1061-1066
  
• Rigui Zhou, Hong Yuan Zheng, Nan Jiang, Qiulin Ding:
  Self-Organizing Quantum Neural Network. 1067-1072
  
• Pei Ling Lai, Gayle Leen, Colin Fyfe:
  A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis. 1073-1077
  
• Tuan A. Duong, De-Ling Liu, Isik Kanik:
  Neural Network Prediction of Reduced Ion Mobility of Chemical Compound Based on Molecular Structure. 1078-1084
  
• Kuo-Chen Li, Dar-Jen Chang, Yuan Yan Chen:
  High-speed Bi-directional Function Approximation using Plausible Neural Networks. 1085-1090
  
• Lech M. Grzesiak, Bartlomiej Ufnalski:
  Neural-Network-based Programmable State Feedback Controller for Induction Motor Drive. 1091-1097
  
• Piotr Ciskowski:
  Efficient Modeling of Contextual Mappings by Context-dependent Feedforward and Recurrent Neural Nets. 1098-1105
  
• Dixin Guo, Jimin Chen, Yuhong Cheng:
  Laser Cutting Parameters Optimization Based on Artificial Neural Network. 1106-1111
  
• Almila Bahar, Evren Giiner, Canan Ozgen, Ugur Halici:
  Design of State Estimators for the Inferential Control of an Industrial Distillation Column. 1112-1115
  
• Sandeep Chandana, René V. Mayorga:
  Rough Set Theory based Neural Network Architecture. 1116-1122
  
• Kazushi Ikeda:
  On Geometric Structure of Quasi-Additive Learning Algorithms. 1123-1127
  
• Pablo Zegers, Jose G. Johnson:
  Consistent Density Function Estimation with Multilayer Perceptrons. 1128-1135
  
• Yonghong Huang, Deniz Erdogmus, Santosh Mathan, Misha Pavel:
  Comparison of Linear and Nonlinear Approaches on Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks. 1136-1142
  
• Pei Ling Lai, Colin Fyfe:
  A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation. 1143-1149
  
• Chih-Cheng Yang, Wan-Jui Lee, Shie-Jue Lee:
  Learning of Kernel Functions in Support Vector Machines. 1150-1155
  
• Hirotaka Nakayama, Yeboon Yun:
  Support Vector Regression Based on Goal Programming and Multi-objective Programming. 1156-1161
  
• Rameswar Debnath, Haruhisa Takahashi:
  SVM Training: Second-Order Cone Programming versus Quadratic Programming. 1162-1168
  
• Ivor W. Tsang, James T. Kwok, Shutao Li:
  Learning the Kernel in Mahalanobis One-Class Support Vector Machines. 1169-1175
  
• Satarupa Banerjee, Lillian N. Cassel:
  Web Host Access Tool: A Support Vector Machine Approach. 1176-1183
  
• Kien-Ping Chung, Kok Wai Wong, Chun Che Fung:
  Reducing User Log size in an Inter-Query Learning Content Based Image Retrieval (CBIR) System with a Cluster Merging approach. 1184-1191
  
• Jayadeva, Reshma Khemchandani, Suresh Chandra:
  Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative. 1192-1197
  
• Steven Van Vaerenbergh, Javier Vía, Ignacio Santamaría:
  Online Kernel Canonical Correlation Analysis for Supervised Equalization of Wiener Systems. 1198-1204
  
• Kuo-Ping Wu, Sheng-De Wang:
  Choosing the Kernel parameters of Support Vector Machines According to the Inter-cluster Distance. 1205-1211
  
• Takashi Onoda, Hiroshi Murata, Seiji Yamada:
  Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD. 1212-1219
  
• Ben Goertzel, James Venuto:
  Accurate SVM Text Classification for Highly Skewed Data Using Threshold Tuning and Query-Expansion-Based Feature Selection. 1220-1225
  
• Deborah Duong, James Venuto, Ben Goertzel, Ryan Richardson, Shawn Bohner, Edward A. Fox:
  Support Vector Machines to Weight Voters in a Voting System of Entity Extractors. 1226-1230
  
• Bai Yifeng, Xiao Jian, Yu Long:
  Kernel Partial Least-Squares Regression. 1231-1238
  
• Iryna Nischenko, Elsa M. Jordaan:
  Confidence of SVM Predictions using a Strangeness Measure. 1239-1246
  
• Bao Rong Chang, Hsiu Fen Tsai:
  Financial Prediction Applications Using Quantum-Minimized Composite Model ASVR/NGARCH. 1247-1253
  
• Sunho Park, Seungjin Choi:
  Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement. 1254-1259
  
• Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson:
  Building Neural Network Ensembles using Genetic Programming. 1260-1265
  
• Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez:
  Pruning in Ordered Regression Bagging Ensembles. 1266-1273
  
• Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer:
  On Combining Backpropagation with Boosting. 1274-1277
  
• Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
  Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm. 1278-1283
  
• Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
  Designing a New Multilayer Feedforward Modular Network for Classification Problems. 1284-1289
  
• Pavel Kordík, Jan Saidl, Miroslav Snorek:
  Evolutionary Search for Interesting Behavior of Neural Network Ensembles. 1290-1293
  
• Dingding Chen, John Quirein, Harry Smith, Syed Hamid, Jeff Grable, S. Reed:
  Variable Input Neural Network Ensembles in Generating Synthetic Well Logs. 1294-1301
  
• Kin Keung Lai, Lean Yu, Shouyang Wang, Wei Huang:
  Neural-Network-based Metalearning for Distributed Text Information Retrieval. 1302-1309
  
• Rodrigo G. F. Soares, Alixandre Santana, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
  Using Accuracy and Diversity to Select Classifiers to Build Ensembles. 1310-1316
  
• Hazem M. El-Bakry:
  A Simple Design for High Speed Normalized Neural Networks Implemented in the Frequency Domain for Pattern Detection. 1317-1324
  
• Hazem M. El-Bakry:
  Fast Co-operative Modular Neural Processors for Human Face Detection. 1325-1332
  
• Gao Daqi, Li Jie:
  Kernel Fisher Discriminants and Kernel Nearest Neighbor Classifiers: A Comparative Study for Large-Scale Learning Problems. 1333-1338
  
• Jahangheer S. Shaik, Mohammed Yeasin:
  Visualization of High Dimensional Data using an Automated 3D Star Co-ordinate System. 1339-1346
  
• Jiayan Jiang, LiMing Zhang:
  Extending Manifold Leaning Algorithms by Neural Networks. 1347-1353
  
• Yuexian Hou, Jingyi Wu, Pilian He:
  Improving classification precision by implicit kernels motivated by manifold learning. 1354-1359
  
• Qingzhong Liu, Andrew H. Sung:
  Recursive Feature Addition for Gene Selection. 1360-1367
  
• Ashok Patel, Bart Kosko:
  Mutual-Information Noise Benefits in Brownian Models of Continuous and Spiking Neurons. 1368-1375
  
• Akaysha C. Tang, Matthew T. Sutherland, Christopher J. McKinney, Jing-Yu Liu, Yan Wang, Lucas C. Parra, A. D. Gerson, Paul Sajda:
  Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing. 1376-1383
  
• Vahid Taimouri, Gholam-Ali Hossein-Zadeh, Hamid Soltanian-Zadeh:
  Spatially Adaptive Kernels for Adaptive Spatial Filtering of fMRI Data. 1384-1388
  
• Mohammad Soleymani, Gholam-Ali Hossein-Zadeh, Hamid Soltanian-Zadeh:
  Fixed and Random Effect Analysis of Multi-subject Spatial Activation Maps in Wavelet Domain. 1389-1392
  
• Narendra S. Chaudhari, Nirmal Dagdee, Meng Joo Er:
  Hard-limiter Neuron based Turing Machine Simulation with Constant Time Read/Write Operation. 1393-1397
  
• Jong-Pil Lee, Dae-Jong Lee, Pyeong-Shik Ji, Jae-Yoon Lim, Sung-Soo Kim:
  Diagnosis of Power Transformer using Fuzzy Clustering and Radial Basis Function Neural Network. 1398-1404
  
• Hong-Dar Lin, Chih-Hao Chien:
  Automated Detection of Color Non-Uniformity Defects in TFT-LCD. 1405-1412
  
• Seung-Hyun Lee, Jaekyoung Moon, Minho Lee:
  A Region of Interest Based Image Segmentation Method using a Biologically Motivated Selective Attention Model. 1413-1420
  
• Satoshi Matsuda:
  A Neural Network Model for the Decision-Making Process Based on ANP. 1421-1426
  
• Abel Nyamapfene, Khurshid Ahmad:
  Unsupervised Multi-net Simulation: An Application to Child Development. 1427-1433
  
• Y. Ishikawa, Ryohei Nakano:
  Landscape of a Likelihood Surface for a Gaussian Mixture and its use for the EM Algorithm. 1434-1440
  
• Yuta Wada, Ken-ichi Tokunaga:
  Estimation of stochastic representation of via-points in human motion control by reinforcement learning. 1441-1446
  
• Robert G. Escalante, Heidar A. Malki:
  Comparison of Artificial Neural Network Architectures and Training Algorithms for Solving the Knight's Tours. 1447-1450
  
• Rong-Jong Wai, Jeng-Dao Lee, Chia-Chin Chu:
  Intelligent Decoupled Control for Linear Induction Motor Drive. 1451-1457
  
• Zhenfu Bi, Fusheng Wang, Congcong Liu:
  Getting parameters in power systems based on adaptive linear neural network. 1458-1462
  
• Lichen Liang, Vladimir Cherkassky, David A. Rottenberg:
  Spatial SVM for feature selection and fMRI activation detection. 1463-1469
  
• Khalid Benabdeslem:
  Descendant hierarchical support vector machine for multi-class problems. 1470-1475
  
• Yoshitsugu Kakemoto, Shinichi Nakasuka:
  The Learning and Dynamics of VSF-Network. 1476-1482
  

Neural Hardware II

• Yan Meng:
  A Mobile Vision System with Reconfigurable Intelligent Agents. 1483-1488
  
• Hiroomi Hikawa:
  Vector Quantization System Based on Scalar SOM/AND-OR Hybrid Network. 1489-1496
  
• Alejandro Linares-Barranco, Rafael Paz-Vicente, Gabriel Jiménez, Juan L. Pedreño-Molina, Javier Molina-Vilaplana, Juan López Coronado:
  AER Neuro-Inspired interface to Anthropomorphic Robotic Hand. 1497-1504
  
• Katsutoshi Saeki, Yugo Hayashi, Yoshifumi Sekine:
  Extraction of Phase Information Buried in Fluctuation of a Pulse-type Hardware Neuron Model Using STDP. 1505-1510
  
• Yajie Chen, Steve Hall, Liam McDaid, Octavian Buiu, Peter M. Kelly:
  On the Design of a Low Power Compact Spiking Neuron Cell Based on Charge-Coupled Synapses. 1511-1517
  
• Puxuan Dong, Griff L. Bilbro, Mo-Yuen Chow:
  Implementation of Artificial Neural Network for Real Time Applications Using Field Programmable Analog Arrays. 1518-1524
  

Supervised Learning I

• César Hervás-Martínez, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez:
  Classification by means of Evolutionary Product-Unit Neural Networks. 1525-1532
  
• Pablo Zegers, Jose G. Johnson:
  Exponential Transitions: Telltale Sign of Consistency in Learning Systems. 1533-1539
  
• Takase Haruhiko, Kita Hidehiko, Hayashi Terumine:
  Fault tolerant training algorithm for multi-layer neural networks focused on hidden unit activities. 1540-1545
  
• Chang Liu, Jing Hua, Lixin Wang, Ruwei Dai:
  An Integrative Neural Network with Feedback Control for Classification. 1546-1553
  
• Dario Albesano, Roberto Gemello, Pietro Laface, Franco Mana, Stefano Scanzio:
  Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting. 1554-1561
  
• Mark Brudnak:
  Vector-Valued Support Vector Regression. 1562-1569
  

Modeling the Evolution & Acquisition of Language

• Leonid I. Perlovsky:
  Integrated Emotions, Cognition, and Language. 1570-1575
  
• Angelo Cangelosi, Emmanouil Hourdakis, Vadim Tikhanoff:
  Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots. 1576-1582
  
• José F. Fontanari, Leonid I. Perlovsky:
  Meaning creation and communication in a community of agents. 1583-1588
  
• Anastasios-Antonios Toulkeridis, Vassilios Petridis:
  From Signaling to Word-Combination, a Layered Approach. 1589-1595
  
• Francis C. K. Wong, James W. Minett, William S.-Y. Wang:
  Reassessing Combinatorial Productivity Exhibited by Simple Recurrent Networks in Language Acquisition. 1596-1603
  
• Nancy Chang, Eva Mok:
  A Structured Context Model for Grammar Learning. 1604-1611
  

Applications of Support Vector Machines & Kernel Methods

• Feihong Wu:
  Comparing Kernels for Predicting Protein Binding Sites from Amino Acid Sequence. 1612-1616
  
• Wei-Chiang Hong, Ping-Feng Pai, Shun-Lin Yang, Robert Theng:
  Highway traffic forecasting by support vector regression model with tabu search algorithms. 1617-1621
  
• Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
  Local Support Vector Regression for Financial Time Series Prediction. 1622-1627
  
• Nancy Arana-Daniel, Eduardo Bayro-Corrochano:
  MIMO SVMs for 3D object classification. 1628-1635
  
• D. Srikrishna Satish, C. Chandra Sekhar:
  Kernel based Clustering and Vector Quantization for Speech Segmentation. 1636-1641
  
• Clodoaldo Ap. M. Lima, Rafael Ferrari, Helder Knidel, C. Junqueira, Romis de Faissol Attux, João Marcos Travassos Romano, Fernando J. Von Zuben:
  Support Vector Clustering Applied to Digital Communications. 1642-1648
  

Performance Prediction Challenge I

• Isabelle Guyon, Amir Reza Saffari Azar Alamdari, Gideon Dror, Joachim M. Buhmann:
  PerformancePrediction Challenge. 1649-1656
  
• Roman W. Lutz:
  LogitBoost with Trees Applied to the WCCI 2006 Performance Prediction Challenge Datasets. 1657-1660
  
• Gavin C. Cawley:
  Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs. 1661-1668
  
• Corinne Dahinden:
  Classification with Tree-Based Ensembles Applied to the WCCI 2006 Performance Prediction Challenge Datasets. 1669-1672
  
• Wei Chu:
  Model Selection: An Empirical Study on Two Kernel Classifiers. 1673-1679
  
• Marc Boullé:
  Regularization and Averaging of the Selective Naive Bayes classifier. 1680-1688
  

Computational Intelligence in Power Systems I - Identification & Estimation

• Ekrem Gursoy, Dagmar Niebur:
  On-line Estimation of Electric Power System Active Loads. 1689-1694
  
• Joy Mazumdar, Ganesh K. Venayagamoorthy, Ronald G. Harley, Franklin C. Lambert:
  Echo State Networks for Determining Harmonic Contributions from Nonlinear Loads. 1695-1701
  
• Kwang Y. Lee:
  System-Type Neural Network Architectures for Power Systems. 1702-1709
  
• Innocent Kamwa, Baraboi Baraboi, René Wamkeue:
  Sensorless ANN-Based Speed Estimation of Synchronous Generators: Improved Performance through Physically Motivated Pre-filters. 1710-1718
  
• Wenxin Liu, David A. Cartes, Ganesh K. Venayagamoorthy:
  Particle Swarm Optimization based Defensive Islanding of Large Scale Power System. 1719-1725
  

Signal Processing & Multi-Media

• Pinaki Shankar Chanda, Sungjin Park, Tae Ik Kang:
  A Binaural Synthesis with Multiple Sound Sources Based on Spatial Features of Head-related Transfer Functions. 1726-1730
  
• Jia-Ching Wang, Jhing-Fa Wang, Kuok Wai He, Cheng-Shu Hsu:
  Environmental Sound Classification using Hybrid SVM/KNN Classifier and MPEG-7 Audio Low-Level Descriptor. 1731-1735
  
• Masaya Ohta, Hideyuki Yamada, Katsumi Yamashita:
  BER Performance Improvement of Biased PCC-OFDM with Neural Phase Rotator by Suppressing ICI. 1736-1741
  
• Ross W. Deming, Shawn Higbee, Derek Dwyer, Michael Welser, Leonid I. Perlovsky, Paola Pellegrini:
  Adaptive Estimation for Spectral-Temporal Characterization of Energetic Transient Events. 1742-1749
  
• Hung-Jen Wang, Chuan-Yu Chang, Sheng-Wen Pan:
  A DWT-based Robust Watermarking Scheme with Fuzzy ART. 1750-1757
  
• Xin Song, Jinkuan Wang, Yinghua Han, Dan Tian:
  Neural Network-Based Robust Adaptive Beamforming. 1758-1763
  

Supervised Learning II

• Andreas Hansson, Lars Niklasson:
  Using Segmentation to Control the Retrieval of Data. 1764-1769
  
• Ken Chen, Bao-Liang Lu, James T. Kwok:
  Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers. 1770-1775
  
• David A. Elizondo, Ralph Birkenhead, Éric D. Taillard:
  The Generalisation of the Recursive Deterministic Perceptron. 1776-1783
  
• Miao Kang, Dominic Palmer-Brown:
  A Multi-layer ADaptive FUnction Neural Network (MADFUNN) for Analytical Function Recognition. 1784-1789
  
• Ryotaro Kamimura:
  Supervised Information Maximization by Weighted Distance. 1790-1796
  
• Benjamin Schrauwen, Jan M. Van Campenhout:
  Backpropagation for Population-Temporal Coded Spiking Neural Networks. 1797-1804
  

Data Mining & Knowledge Discovery

• Francesca Trentini, Markus Hagenbuchner, Alessandro Sperduti, Franco Scarselli:
  A Self-Organising Map Approach for Clustering of XML Documents. 1805-1812
  
• Nghia Tran, Christophe G. Giraud-Carrier, Kevin D. Seppi, Sean Warnick:
  Cooperation-based Clustering for Profit-maximizing Organizational Design. 1813-1817
  
• Elsa M. Jordaan, Iryna Nischenko:
  Data Analysis and Confidence based on SVM Density Estimation. 1818-1824
  
• Haixuan Yang, Irwin King, Michael R. Lyu:
  Predictive Random Graph Ranking on the Web. 1825-1832
  
• Koichi Odajima, Yoichi Hayashi, Rudy Setiono:
  Greedy rule generation from discrete data and its use in neural network rule extraction. 1833-1839
  
• Michael J. Watts, Susan P. Worner:
  Using MLP to Determine Abiotic Factors In uencing the Establishment of Insect Pest Species. 1840-1845
  

Probabilistic & Information-Theoretic Methods

• Yiwen Wang, António R. C. Paiva, Jose C. Principe:
  A Monte Carlo Sequential Estimation for Point Process Optimum Filtering. 1846-1850
  
• Jian-Wu Xu, Puskal P. Pokharel, António R. C. Paiva, Jose C. Principe:
  Nonlinear Component Analysis Based on Correntropy. 1851-1855
  
• Aysegul Gunduz, Anant Hegde, Jose C. Principe:
  Correntropy as a Novel Measure for Nonlinearity Tests. 1856-1862
  
• Jose Delpiano, Pablo Zegers:
  Semi-Autonomous Neural Networks Differential Equation Solver. 1863-1869
  
• Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie:
  Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. 1870-1877
  
• Felix Feger, Irena Koprinska:
  Co-training using RBF Nets and Different Feature Splits. 1878-1885
  

Model Selection

• Imhoi Koo, Rhee Man Kil:
  Nonlinear Model Selection Based on the Modulus of Continuity. 1886-1893
  
• Matti Kaariainen:
  Semi-Supervised Model Selection Based on Cross-Validation. 1894-1899
  
• Mathias M. Adankon, Mohamed Cheriet:
  New Formulation of SVM for Model Selection. 1900-1907
  
• Timo Similä, Jarkko Tikka:
  Common Subset Selection of Inputs in Multiresponse Regression. 1908-1915
  
• David L. Donoho, Victoria Stodden:
  Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations. 1916-1921
  
• Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Kunapuli, Jong-Shi Pang:
  Model Selection via Bilevel Optimization. 1922-1929
  

Bioinformatics & Bio-Medical Engineering I

• Feng Chu, Lipo Wang:
  Applying RBF Neural Networks to Cancer Classification Based on Gene Expressions. 1930-1934
  
• Nicholas Stepenosky, Robi Polikar, John Kounios, Christopher Clark:
  Ensemble Techniques with Weighted Combination Rules for Early Diagnosis of Alzheimer's Disease. 1935-1941
  
• Xiaoxu Han:
  Finding Phylogenetically Informative Genes by Estimating Multispecies Gene Entropy. 1942-1949
  
• Wei Jiang, Seong G. Kong, Gregory D. Peterson:
  Continuous Heartbeat Monitoring Using Evolvable Block-based Neural Networks. 1950-1957
  
• Vitoantonio Bevilacqua, Giuseppe Mastronardi, Filippo Menolascina, Paolo Pannarale, Antonio Pedone:
  A Novel Multi-Objective Genetic Algorithm Approach to Artificial Neural Network Topology Optimisation: The Breast Cancer Classification Problem. 1958-1965
  
• Davide Anguita, Sandro Ridella, Dario Sterpi:
  Testing the Augmented Binary Multiclass SVM on Microarray Data. 1966-1968
  

Computational Intelligence in Power Systems II - Diagnosis & Control

• Li Liu, David A. Cartes, Wenxin Liu:
  Application of Particle Swarm Optimization to PMSM Stator Fault Diagnosis. 1969-1974
  
• Wenxin Liu, Jagannathan Sarangapani, Ganesh K. Venayagamoorthy, Donald C. Wunsch, David A. Cartes:
  Neural Network based Decentralized Excitation Control of Large Scale Power Systems. 1975-1981
  
• Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Harley:
  Design of Optimal PI Controllers for Doubly Fed Induction Generators Driven by Wind Turbines Using Particle Swarm Optimization. 1982-1987
  
• Ahmed Ali Abdalla Esmin:
  Loss Power Minimization Using Particle Swarm Optimization. 1988-1992
  
• Alma Y. Alanis, Edgar N. Sanchez, Alexander G. Loukianov:
  Discrete- Time Recurrent Neural Induction Motor Control using Kalman Learning. 1993-2000
  

Military & Security Applications

• Gymama E. Slaughter, Rosalyn S. Hobson:
  Artificial Neural Network for Temporal Impedance Recognition of Neurotoxins. 2001-2008
  
• Paul E. Keller, Douglas L. McMakin, Thomas E. Hall, David M. Sheen:
  Use of a Neural Network to Identify Man-made Structure in Millimeter-Wave Images for Security Screening Applications. 2009-2014
  
• Alireza A. Dibazar, Abhijith Bangalore, Hyung-ook Park, Sageev T. George, Walter M. Yamada, Theodore W. Berger:
  Hardware Implementation of Dynamic Synapse Neural Networks for Acoustic Sound Recognition. 2015-2022
  
• Nathan Brannon, Gregory Conrad, Timothy Draelos, John Seiffertt, Donald C. Wunsch:
  Information Fusion and Situation Awareness using ARTMAP and Partially Observable Markov Decision Processes. 2023-2030
  
• Hung-Hsu Tsai, Kuo-Chun Wang, Chi-Chih Liu:
  Robust Watermarking in Wavelet Domain Using Rank Order and Genetic Algorithm for Image Authorization. 2031-2038
  
• Maryam Arvandi, Shuwei Wu, Alireza Sadeghian, William W. Melek, Isaac Woungang:
  Symmetric Cipher Design Using Recurrent Neural Networks. 2039-2046
  

Evolutionary Approaches for Supervised Learning

• Myoung Soo Park, Jin Young Choi:
  Fast Incremental Learning Algorithm using Evolutionary Logic Networks for Real-Value Inputs. 2047-2054
  
• Michael J. Watts:
  Nominal-scale Evolving Connectionist Systems. 2055-2059
  
• Eric Granger, Philippe Henniges, Luiz S. Oliveira, Robert Sabourin:
  Particle Swarm Optimization of Fuzzy ARTMAP Parameters. 2060-2067
  
• Marek Bundzel, Peter Sincak:
  Combining Gradient and Evolutionary Approaches to the Artificial Neural Networks Training According to Principles of Support Vector Machines. 2068-2074
  
• Rodrigo Pasti, Leandro Nunes de Castro:
  An Immune and a Gradient-Based Method to Train Multi-Layer Perceptron Neural Networks. 2075-2082
  
• Helder Knidel, Fernando J. Von Zuben, Leandro Nunes de Castro:
  A Supervised Constructive Neuro-Immune Network for Pattern Classification. 2083-2089
  

Financial Engineering

• Chai Quek, Michel Pasquier, Neha Kumar:
  A Novel Recurrent Neural Network Based Prediction System for Trading. 2090-2097
  
• Georgi M. Dimirovski, Cvetko J. Andreeski:
  How Good ANN Identification of Post-Stabilization Inflation Dynamics Can Be? 2098-2105
  
• Weizhong Yan, Piero P. Bonissone:
  Designing a Neural Network Decision System for Automated Insurance Underwriting. 2106-2113
  
• Jagdish Chandra Patra, Weineng Lim, Pramod Kumar Meher, Ee-Luang Ang:
  Financial Prediction of Major Indices using Computational Efficient Artificial Neural Networks. 2114-2120
  
• Lori L. DeLooze:
  Attack Characterization and Intrusion Detection using an Ensemble of Self-Organizing Maps. 2121-2128
  
• Kin Keung Lai, Kaijian He, Chi Xie, Shou Chen:
  Market Risk Measurement for Crude Oil: A Wavelet Based VaR Approach. 2129-2136
  

Ensemble & Other Meta-Learning Algorithms

• Feng Xue, Raj Subbu, Piero P. Bonissone:
  Locally Weighted Fusion of Multiple Predictive Models. 2137-2143
  
• Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.:
  Combining Diversity and Classification Accuracy for Ensemble Selection in Random Subspaces. 2144-2151
  
• Egar Sanchez, Salvador A. Pintos, Néstor V. Queipo:
  Toward an Optimal Ensemble of Kernel-based Approximations with Engineering Applications. 2152-2158
  
• Shibendra S. Pobi, Lawrence O. Hall:
  Predicting Juvenile Diabetes from Clinical Test Results. 2159-2165
  
• Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski:
  Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions. 2166-2173
  
• Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Bruno L. C. da Silva:
  Cluster Ensemble for Gene Expression Microarray Data: Accuracy and Diversity. 2174-2180
  

Performance Prediction Challenge II

• Eugene Tuv, Alexander Borisov, Kari Torkkola:
  Feature Selection Using Ensemble Based Ranking Against Artificial Contrasts. 2181-2186
  
• Jörg D. Wichard:
  Model Selection in an Ensemble Framework. 2187-2192
  
• Vladimir Nikulin:
  Learning with Mean-Variance Filtering, SVM and Gradient-based Optimization. 2193-2200
  
• Yu-Yen Ou, Hao-Geng Hung, Yen-Jen Oyang:
  A Study of Supervised Learning with Multivariate Analysis on Unbalanced Datasets. 2201-2205
  

Bioinformatics & Bio-Medical Engineering II

• Fernando Rios-Gutiérrez, Rocío Alba-Flores, Khaled Ejaz, Glenn Nordehn, Nicholas Andrisevic, Stanley Burns:
  Classification of Four Types of Common Murmurs using Wavelets and a Learning Vector Quantization Network. 2206-2213
  
• Bancha Charumporn, Toru Fujinaka, Michifumi Yoshioka, Sigeru Omatu:
  Compact Electronic Nose Systems Using Metal Oxide Gas Sensors for Fire Detection Systems. 2214-2217
  
• Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Koki Matsumura, Mariko Hatakeyama:
  Function Approximation Approach to the Inference of Normalized Gaussian Network Models of Genetic Networks. 2218-2225
  
• Carlos A. M. Del Carpio, Mohamed Ismael, Eiichiro Ichiishi, Michihisa Koyama, Momoji Kubo, Akira Miyamoto:
  An Evolving Automaton for RNA Secondary Structure Prediction. 2226-2233
  
• Andrew Skabar, Dennis Wollersheim, Tim Whitfort:
  Multi-label Classification of Gene Function using MLPs. 2234-2240
  

Computational Intelligence in Power Systems III - Control of FACTS Devices

• Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley:
  An Interval Type-II Robust Fuzzy Logic Controller for a Static Compensator in a Multimachine Power System. 2241-2248
  
• Ruben Tapia-Olvera, Juan M. Ramirez:
  Power Systems Neural Voltage Control by a StatCom. 2249-2254
  
• Tridib K. Das, Sandhya R. Jetti, Ganesh K. Venayagamoorthy:
  Optimal Design of SVC Damping Controllers with Wide Area Measurements Using Small Population based PSO. 2255-2260
  
• Swakshar Ray, Ganesh K. Venayagamoorthy:
  Real-Time Implementation of an Optimal Transient Neurocontroller for a GCSC. 2261-2266
  
• P. Z. Haro, Juan M. Ramirez:
  SSSC's Adaptive Neural Control. 2267-2273
  
• M. Tripathy, Sukumar Mishra, Ganesh K. Venayagamoorthy:
  Bacteria Foraging: A New Tool for Simultaneous Robust Design of UPFC Controllers. 2274-2280
  

Posters

• Azhar Salim, Faramarz Valafar:
  Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques. 2281-2286
  
• Raul Llinares, Jorge Igual, José Millet, Maria Guillem:
  Independent Component Analysis of Body Surface Potential Mapping Recordings with Atrial Fibrillation. 2287-2294
  
• Susan B. Garavaglia:
  There Goes the Neighborhood: A Comparison of a "Just-in- Time" SOM with the Traditional Kohonen Map Applied to Segmenting US Medicare Beneficiaries. 2295-2302
  
• Jae-Yoon Jung, Phil Hyoun Lee:
  A Neural Network Model for Maximizing Prediction Accuracy in Haplotype Tagging SNP Selection. 2303-2307
  
• Alex C. Thomas, Zheng Rong Yang:
  Improved Prediction of HIV-1 Protease Genotypic Resistance Testing Assays using a Consensus Technique. 2308-2314
  
• Xuemei Guan, Liping Sun, Jun Cao:
  Level Set Method Based on Improved Mumford-Shah Model Applied in Wood Cell Image Segmentation. 2315-2318
  
• Kelly P. da Silva, Meika I. Monteiro, Marcílio Carlos Pereira de Souto:
  In silico prediction of promoter sequences of Bacillus species. 2319-2324
  
• Bing Wang, Hau-San Wong, Peng Chen, Hong-Qiang Wang, De-Shuang Huang:
  Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. 2325-2330
  
• Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang:
  Long-Range Interaction Analysis using Principal Component Analysis. 2331-2336
  
• Carlos A. M. Del Carpio, Eiichiro Ichiishi, Michihisa Koyama, Momoji Kubo, Akira Miyamoto:
  A Flexibility Index for Analysis of Bio-molecular Complexes. 2337-2344
  
• Danil V. Prokhorov:
  Feedback Neurocontrol of a Disease. 2345-2348
  
• Pedro Henrique Gouvea Coelho, Luiz Biondi Neto:
  Complex Kalman Filter Trained Recurrent Neural Network Based Equalizer for Mobile Channels. 2349-2353
  
• Tich Phuoc Tran, Tony Jan:
  Boosted Modified Probabilistic Neural Network (BMPNN) for Network Intrusion Detection. 2354-2361
  
• Dima Stopel, Zvi Boger, Robert Moskovitch, Yuval Shahar, Yuval Elovici:
  Application of Artificial Neural Networks Techniques to Computer Worm Detection. 2362-2369
  
• Sung-Soo Kim, Myeong-Je Kim, T. Aaron Gulliver:
  A New PTS for PAPR Reduction by Local Search in GA. 2370-2373
  
• Patric L. da Silva, Adaildo G. D'Assuncao:
  Neuromodelling of Frequency Selective Surfaces and E-Shaped Microstrip Antennas. 2374-2377
  
• Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof, Philip Shibly, Joshua Hecker:
  Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer. 2378-2385
  
• Chih-Ming Chen, Chin-Ming Hong, Shyuan-Yi Chen, Chao-Yu Liu:
  Mining Formative Evaluation Rules Using Learning Portfolios for Web-based Learning Systems. 2386-2393
  
• Mu-Hsing Kuo, Chin-Lung Chen:
  An ETF Trading Decision Support System by Using Neural Network and Technical Indicators. 2394-2401
  
• Hui Gao, Vladimir Cherkassky:
  Real-Time Pricing of Mutual Funds. 2402-2408
  
• Michihiro Namba, Zhong Zhang:
  Cellular Neural Network for Associative Memory and Its Application to Braille Image Recognition. 2409-2414
  
• Ernst M. Kussul, Tatiana Baidyk, Donald C. Wunsch II, Oleksandr Makeyev, Anabel Martín:
  Image Recognition Systems Based on Random Local Descriptors. 2415-2420
  
• Yegui Xiao, Liying Ma, Khashayar Khorasani:
  A New Facial Expression Recognition Technique using 2-D DCT and Neural Networks Based Decision Tree. 2421-2428
  
• Md. Maruf Monwar, Siamak Rezaei:
  Appearance-based Pain Recognition from Video Sequences. 2429-2434
  
• Lei Huo, Tiandong Duan, Xiangqian Fang:
  A Novel Method of Modulation Classification for Digital Signals. 2435-2438
  
• Steve Green, Michael Blumenstein:
  An Exhaustive Search Strategy for Detecting Persons in Beach Scenes using Digital Video Imagery and Neural Network-based Classification. 2439-2444
  
• Fatih Camci, Ratna Babu Chinnam:
  Hierarchical HMMs for Autonomous Diagnostics and Prognostics. 2445-2452
  
• Kou-Yuan Huang, Jiun-De You, Kai-Ju Chen, Hung-Lin Lai, An-Jin Don:
  Hough Transform Neural Network for Seismic Pattern Detection. 2453-2458
  
• David Muse, Kevin Burn, Stefan Wermter:
  Reinforcement Learning for Platform-Independent Visual Robot Control. 2459-2466
  
• Steffen Prüter, Ralf Salomon:
  Local Movement Control with Neural Networks on Autonomous Robots. 2467-2471
  
• Jiawei Zhang, Liping Sun, Jun Cao:
  Data Fusion Modeling of Lumber Moisture Content Sensors Using Chebyshev Functional Link Networks. 2472-2477
  
• Yaqiu Liu:
  Attitude and Vibration Control of Flexible Spacecraft Using Adaptive Inverse Disturbance Canceling. 2478-2484
  
• Chih-Min Lin, Wei-Che Fan, Chiu-Hsiung Chen, Yu-Ling Hou:
  Robust Control for Biped Robot Using Cerebellar Model Articulation Controller. 2485-2490
  
• Yasuhiro Wada, Koichi Sugiyama:
  Task learning for a real robot by using virtual space. 2491-2496
  
• Huajun Gong, Hao Xu, Fahmida N. Chowdhury:
  A Neuro-augmented Observer for a Class of Nonlinear Systems. 2497-2500
  
• Vadrevu Sree Krishan Chaitanya, Prabir Kumar Sarkar:
  A Neural Network Algorithm for the Error Optimization in the Path Tracking Control of a Mobile Robot. 2501-2507
  
• Sittichote Janpaiboon, Sanya Mitaim:
  Adaptive Stochastic Resonance in Color Object Segmentation. 2508-2515
  
• Youshen Xia, Mohamed S. Kamel:
  A Cooperative Recurrent Neural Network Algorithm for Parameter Estimation of Autoregressive Signals. 2516-2522
  
• Jianping Qiao, Ju Liu, Caihua Zhao:
  A Novel SVM-Based Blind Super-Resolution Algorithm. 2523-2528
  
• James L. King, Leon Reznik:
  Topology Selection for Signal Change Detection in Sensor Networks: RBF vs MLP. 2529-2535
  
• Jérôme Da Rugna, Hubert Konik:
  Blur identification in image processing. 2536-2541
  
• Alexander I. Galushkin, Pavel A. Kazantsev, Svetlana V. Korobkova, Artem M. Lodyagin, Sergey V. Panteleev:
  Neural Network Recognition of Spherical Bodies Set Grain-Size Distribution Using Envelope of Surface. 2542-2549
  
• Maneesha Singh, Sameer Singh, Markos Markou:
  Partial Object Recognition for Improving Novelty Detection in Videos. 2550-2554
  
• Zhenhai Wang, C. H. Chen:
  Factor Analysis for Geophysical Signal Processing with Seismic Profiles. 2555-2560
  
• Fredric M. Ham, Ranjan Acharyya, Young-Chan Lee:
  Speaker Verification using 3-D ROC Curves for Increasing Imposter Rejections. 2561-2565
  
• Jiann-Shu Lee, Yung-Ming Kuo, Pau-Choo Chung:
  The Adult Image Identification Based on Online Sampling. 2566-2571
  
• Amandeep S. Sidhu, Narendra S. Chaudhari, Ghee Ming Goh:
  Hierarchical Reinforcement Learning Model for Military Simulations. 2572-2576
  
• Hiroshi Dozono, Masanori Nakakuni, Hiroaki Sanada, Yoshio Noguchi:
  The Analysis of Pen Inputs of Handwritten Symbols using Self Organizing Maps and its Application to User Authentication. 2577-2582
  
• Boyun Zhang, Jianping Yin, Wensheng Tang, Jingbo Hao, Dingxing Zhang:
  Unknown Malicious Codes Detection Based on Rough Set Theory and Support Vector Machine. 2583-2587
  
• Shen Zhihe, Liu Feng:
  Applying Improved BP Neural Network In Underwater Targets Recognition. 2588-2592
  
• Ching-Hung Lee, Bor-Hang Wang, Hua-Hsiang Chang, Yi-Hung Pang:
  A Novel Wavelet-based-CMAC Neural Network Controller for Nonlinear Systems. 2593-2599
  
• Jae-Byung Jung, Gerald F. Denny, James W. Tilley, Alex B. Kulinchenko, Patrick K. Simpson:
  Broadband Active Sonar Swimmer Detection and Identification. 2600-2605
  
• Steven B. Morphet, James W. Fawcett, S. Kanat Bolazar, Murat K. Gungor:
  Neural Net Analysis of the Propensity for Change in Large Software Systems. 2606-2610
  
• Eduardo M. Crispim, Pedro M. Ferreira, António E. Ruano:
  Solar radiation prediction using RBF Neural Networks and cloudiness indices. 2611-2618
  
• Byoung H. Kim, John P. Velas, Kwang Y. Lee:
  Short-Term Load Forecasting Using System-Type Neural Network Architecture. 2619-2626
  
• Ricardo Menezes Salgado, Joaquim J. F. Pereira, Takaaki Ohishi, Rosangela Ballini, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben:
  A Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem. 2627-2634
  
• Paulo Cortez, Miguel Rio, Miguel Rocha, Pedro Sousa:
  Internet Traffic Forecasting using Neural Networks. 2635-2642
  
• Sung-Chi Hsu, Ming-Der Yang, Ming-Che Chen, Ji-Yuan Lin:
  Artificial Neural Network of Liquefaction Evaluation for Soils with High Fines Content. 2643-2649
  
• Sun Yanjing, Qian Jiansheng, Li Shiyin, Song Jinling:
  Intelligent Prediction System of Coal-Gas Outburst Based on Evolutionary Neural Nets. 2650-2655
  
• Ronaldo R. B. de Aquino, Aida A. Ferreira, Milde M. S. Lira, Geane B. Silva, Otoni Nóbrega Neto, J. B. Oliveira, C. F. Diniz, J. Fideles:
  A Hybrid Intelligent System for Short and Mid-term Forecasting for the CELPE Distribution Utility. 2656-2661
  
• Antonio Chella, Patrizia Ciarlini, Umberto Maniscalco:
  Neural Networks as Soft Sensors: a Comparison in a Real World Application. 2662-2668
  
• Nasser Sadati, Behnam Sedighi:
  A Non-Linear Neural D/A Converter for Direct Digital Frequency Synthesizers. 2669-2672
  
• Hasan Abdulkader, Daniel Roviras, Ridha Chaggara, Willy Vigneau, Francis Castanie:
  Mitigation of Multipath Influence on Tracking Errors in LEO Navigation Applications. 2673-2678
  
• Wataru Noguchi, Cong-Kha Pham:
  A Proposal to Solve N-Queens Problems Using Maximum Neuron Model with A Modified Hill-Climbing Term. 2679-2682
  
• Hazem M. El-Bakry:
  New Fast Time Delay Neural Networks Using Cross Correlation Performed in the Frequency Domain. 2683-2690
  
• Tae-Hyoung Kim, Chi-Hwa Song, Won Don Lee, Jae-Cheol Ryou:
  Building a Packages Delivery Schedule Using Extended Simulated Annealing. 2691-2695
  
• A. D. Dileep, C. Chandra Sekhar:
  Identification of Block Ciphers using Support Vector Machines. 2696-2701
  
• Anahita Zarei, Mohamed El-Sharkawi, Michael Hairfield, Gregory King:
  An Intelligent System for Prediction of Orthodontic Treatment Outcome. 2702-2706
  
• Yoichi Ishikawa, Yoshihisa Ishida:
  Model-Following Controller for Nonlinear Plants using RBF Neural Networks. 2707-2712
  
• Miguel A. Cristin Valdez, Jaime A. Orozco Valera, M. Jojutla O. Arteaga:
  Estimating Soc in Lead-Acid Batteries Using Neural Networks in a Microcontroller-Based Charge-Controller. 2713-2719
  
• Shengxiang Yang:
  Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach. 2720-2727
  
• Vytautas Galvanauskas, Petia Georgieva, Sebastiao Feyo de Azevedo:
  Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model. 2728-2735
  
• Luis E. Zárate, Elizabeth Marques Duarte Pereira, Leonardo A. R. Oliveira, Victor P. Gil, Tadeu R. A. Santos, Bruno M. Nogueira:
  Techniques for Training Sets Selection in the Representation of a Thermosiphon System Via ANN. 2736-2741
  
• Luis E. Zárate, Elizabeth Marques Duarte Pereira:
  Parametric Analysis of Solar Collectors Through Sensitivity Factors Via Artificial Neural Networks. 2742-2748
  
• Jung Hoon Lee, Konstantin Likharev:
  In Situ Training of CMOL CrossNets. 2749-2756
  
• Yicong Meng, Stanley Y. M. Lam, Eric K. C. Tsang, Bertram Emil Shi:
  An Efficient Spike-Based Communication Protocol for Neurally Inspired Feature Maps. 2757-2764
  
• Kun-Neng Hung, Chih-Min Lin, Fu-Shan Ding:
  Adaptive Neural Control for Switching Power Supplies Using Gaussian Wavelet Networks. 2765-2770
  
• Milos Stanisavljevic, Alexandre Schmid, Yusuf Leblebici:
  Fault-Tolerance of Robust Feed-Forward Architecture Using Single-Ended and Differential Deep-Submicron Circuits Under Massive Defect Density. 2771-2778
  
• Fergal Tuffy, Liam McDaid, Vunfu Wong Kwan, John Alderman, T. Martin McGinnity, Peter M. Kelly, Jose A. Santos:
  Inter-Neuron Communications for Large-Scale Neural Networks using Capacitive Coupling. 2779-2784
  
• Kuo-Kai Shyu, Ming-Huan Li:
  FPGA Implementation of FastICA based on Floating-Point Arithmetic Design for Real-Time Blind Source Separation. 2785-2792
  
• Il Song Han:
  A Pulse-based Neural Hardware Implementation Based on the Controlled Conductance by MOSFET Circuit. 2793-2799
  
• Y. Bénédic, Jean Mercklé:
  Optimization of Binary-Output CNNs: First Step of an Analytical Design Process. 2800-2806
  
• Sofien Chtourou, Omar Hammami, Mohamed Chtourou:
  JPEG-2000 Workload Prediction for Adaptive System on Chip Entropy Coders Architecture. 2807-2814
  
• Sherif M. Saif, Hazem M. Abbas, Salwa M. Nassar:
  An FPGA Implementation of a Competitive Hopfield Neural Network for Use in Histogram Equalization. 2815-2822
  
• Sofien Chtourou, Mohamed Chtourou, Omar Hammami:
  Neural Network Based Memory Access Prediction Support for SoC Dynamic Reconfiguration. 2823-2829
  
• Ralf Eickhoff, Tim Kaulmann, Ulrich Rückert:
  SIRENS: A Simple Reconfigurable Neural Hardware Structure for artificial neural network implementations. 2830-2837
  
• Sergio Decherchi, Giovanni Parodi, Paolo Gastaldo, Rodolfo Zunino:
  Embedded Electronics Systems for Training Support Vector Machines. 2838-2844
  
• Richard Neville:
  A hardware implementation of Multi-level Threshold Logic for Artificial Neural Net. 2845-2851
  
• Cheng-Jian Lin, Tzu-Chao Lin, Chin-Ling Lee:
  An Asymmetry Subsethood-Based Neural Fuzzy Network. 2852-2858
  
• Feng Liu, Geok See Ng, Chai Quek, Tsee Foong Loh:
  Artificial Ventilation Modeling using Neuro-Fuzzy Hybrid System. 2859-2864
  
• Tuan Zea Tan, Chai Quek, Geok See Ng:
  Clinical Diagnosis Using Proteomics and Complementary Learning. 2865-2872
  
• René V. Mayorga, Sandeep Chandana:
  A Neuro—Fuzzy Approach for the Motion Planning of Redundant Manipulators. 2873-2878
  
• Geraldo Souza Reis Jr., Paulo E. M. Almeida:
  Modified Fuzzy-CMAC Networks with Clustering-based Structure. 2879-2886
  
• Cheng-Jian Lin, Shang-Jin Hong, Chi-Yung Lee:
  The Design of Neuro-Fuzzy Networks Using Particle Swarm Optimization and Recursive Singular Value Decomposition. 2887-2893
  
• Chia-Feng Juang, Chun-I Lee, Tung-Jung Chan:
  A Fuzzified Neural Fuzzy Inference Network that Learns from Linguistic Information. 2894-2899
  
• Masayuki Murakami, Nakaji Honda:
  Model Accuracy of the IDS Method for Three-input Systems and a Basic Constructive Algorithm for Structural Optimization. 2900-2906
  
• Jürgen Paetz:
  Evolution of Real Valued Weights for RBF-DDA Networks. 2907-2913
  
• Lin Yu Tseng, Wen-Ching Chen:
  A Two-Phase Genetic Local Search Algorithm for Feedforward Neural Network Training. 2914-2918
  
• Nobuhiko Kondo, Toshiharu Hatanaka, Katsuji Uosaki:
  Pattern Classification by Evolutionary RBF Networks Ensemble Based on Multi-objective Optimization. 2919-2925
  
• Hong Zhang, Masumi Ishikawa:
  An Evolutionary Approach to Data Classification - Hybrid Real-Coded Genetic Algorithm with Pruning. 2926-2931
  
• Byran O'Hora, Jerome Perera, Anthony Brabazon:
  Designing Radial Basis Function Networks for Classification Using Differential Evolution. 2932-2937
  
• Habib Dhahri, Adel M. Alimi:
  The Modified Differential Evolution and the RBF (MDE-RBF) Neural Network for Time Series Prediction. 2938-2943
  
• Diego A. Gutnisky, Rina Zelmann, B. Silvano Zanutto:
  Multiagent team formation performed by operant learning: an animat approach. 2944-2950
  
• Laura Emmanuella O. Santana, Anne M. P. Canuto, Marjory C. C. Abreu:
  Analyzing the Performance of an Agent-based Neural System for Classification Tasks Using Data Distribution among the Agents. 2951-2958
  
• Marjory C. C. Abreu, Anne M. P. Canuto:
  Analyzing the Benefits of Using a Fuzzy-Neuro Model in the Accuracy of the NeurAge System: an Agent-Based System for Classification Tasks. 2959-2966
  
• Fei Li, Chengjie Xie, Dongsheng Zheng, Baoyu Zheng:
  Feedback Quantum Neuron for Multiuser Detection. 2967-2971
  
• Jahangheer S. Shaik, Mohammed Yeasin:
  Performance Evaluation of Subspace-based Algorithm in Selecting Differentially Expressed Genes and Classification of Tissue Types from Microarray Data. 2972-2979
  
• Jahangheer S. Shaik, Mohammed Yeasin:
  A Progressive Framework for Two-Way Clustering Using Adaptive Subspace Iteration for Functionally Classifying Genes. 2980-2985
  
• Narri Yadaiah, N. Ravi Kumar, Gaddam Tulasi Ram Das:
  Comparison of Conventional, Fuzzy Logic and Neural Based HBPWM Current Controllers. 2986-2992
  
• Ting Yu, Tony Jan, John K. Debenham, Simeon J. Simoff:
  Classify Unexpected News Impacts to Stock Price by Incorporating Time Series Analysis into Support Vector Machine. 2993-2998
  
• Tong-Seng Quah, Mie Mie Thet Thwin:
  Utilizing Computational Intelligence in Estimating Software Readiness. 2999-3006
  
• Tong-Seng Quah, Kian-Chong Wong:
  Utilizing Generalized Growing and Pruning Algorithm for Radial Basis Function (GGAP-RBF) Network in Predicting IPOs Performance. 3007-3012
  
• Humberto Cesar Brandao de Oliveira, Germano C. Vasconcelos, Guilherme Bastos Alvarenga:
  Reducing Traveled Distance in the Vehicle Routing Problem with Time Windows using a Multi-Start Simulated Annealing. 3013-3020
  
• Jonathan Villanueva, Vianery Cruz, Gerardo Reyes, Aaron Benitez:
  Extracting Refined Rules from Hybrid Neuro-Symbolic Systems. 3021-3025
  
• Wladyslaw Homenda:
  Automatic understanding of images: integrated syntactic and semantic analysis of music notation. 3026-3033
  
• Pawalai Kraipeerapun, Kok Wai Wong, Chun Che Fung, Warick Brown:
  Quantification of Uncertainty in Mineral Prospectivity Prediction Using Neural Network Ensembles and Interval Neutrosophic Sets. 3034-3039
  
• Chin-Ming Hong, Chih-Ming Chen, Chao-Yang Chiu:
  New Word Extraction Utilizing Google News Corpuses for Supporting Lexicon-based Chinese Word Segmentation Systems. 3040-3046
  
• Michael J. Healy, Thomas P. Caudell:
  Knowledge Representation and Possible Worlds for Neural Networks. 3047-3054
  
• Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis, Stefanos D. Kollias:
  A Connectionist Model for Weighted Fuzzy Programs. 3055-3062
  
• Stefan Lessmann, Robert Stahlbock, Sven F. Crone:
  Genetic Algorithms for Support Vector Machine Model Selection. 3063-3069
  
• Eulanda Miranda dos Santos, Robert Sabourin, Patrick Maupin:
  Single and Multi-Objective Genetic Algorithms for the Selection of Ensemble of Classifiers. 3070-3077
  
• Shun Bian, Wenjia Wang:
  Investigation on Diversity in Homogeneous and Heterogeneous Ensembles. 3078-3085
  
• Renan W. F. Vitral:
  The Neurodynamics of the Hippocampal Place Fields. 3086-3093
  
• Andre Alves Portela Santos, Leandro dos Santos Coelho:
  Neural Networks, Fuzzy System, and Linear Models in Forecasting Exchange Rates: Comparison and Case Studies. 3094-3099
  
• Kazi Shah Nawaz Ripon, Chi-Ho Tsang, Sam Kwong:
  Multi-Objective Evolutionary Job-Shop Scheduling Using Jumping Genes Genetic Algorithm. 3100-3107
  
• Ya-Fu Peng, Ming-Hung Lin, Chao-Ming Chong:
  Design of Output Recurrent CMAC Backstepping Control System for Tracking Periodic Trajectories. 3108-3113
  
• Chiu-Hsiung Chen, Chih-Min Lin, Yu-Ling Hou, Wei-Che Fan:
  CMAC-Based Supervisory Control for Chaotic Chua's Circuits. 3114-3119