Neural Computing and Applications, Volume 11

Volume 11, Number 1, June 2002

• John MacIntyre:
  Editorial. 1-2
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• Antonino Santos, Bernardino Arcay Varela, Julian Dorado, A. B. Rodríguez, Alejandro Pazos:
  Artificial Neural Networks Manipulation Server: Research on the Integration of Databases and Artificial Neural Networks. 3-16
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• Radwan E. Abdel-Aal:
  Comparison of Algorithmic and Machine Learning Approaches for the Automatic Fitting of Gaussian Peaks. 17-29
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• H. M. Cartwright:
  Investigation of Structure - Biodegradability Relationships in Polychlorinated Biphenyls Using Self-Organising Maps. 30-36
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• Xiao Zhi Gao, Seppo J. Ovaska:
  Genetic Algorithm Training of Elman Neural Network in Motor Fault Detection. 37-44
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• Alessandro Rizzi, Riccardo Cassinis, N. Serana:
  Neural Networks for Autonomous Path-Following with an Omnidirectional Image Sensor. 45-52
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• Kihwan Eom, Jiwon Jung, Harsha Sirisena:
  Intelligent System for Adapting to a User's Characteristics. 53-61
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• Giles M. Foody, Doreen S. Boyd:
  Sharpened Mapping of Tropical Forest Biophysical Properties from Coarse Spatial Resolution Satellite Sensor Data. 62-70
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• D. Micusík, Viera Stopjaková, Lubica Benusková:
  Application of Feed-forward Artificial Neural Networks to the Identification of Defective Analog Integrated Circuits. 71-79
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Volume 11, Number 2, October 2002

• John MacIntyre:
  Editorial. 81-82
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• Gonzalo Pajares, Jesús Manuel de la Cruz:
  A Probabilistic Neural Network for Attribute Selection in Stereovision Matching. 83-89
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• V. S. Kodogiannis, A. Lolis:
  Forecasting Financial Time Series using Neural Network and Fuzzy System-based Techniques. 90-102
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• Kai-zhou Chen, Yee Leung, Kwong-Sak Leung, Xing-bao Gao:
  A Neural Network for Solving Nonlinear Programming Problems. 103-111
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• M. A. El-Gamal:
  Genetically Evolved Neural Networks for Fault Classification in Analog Circuits. 112-121
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• Amitava Datta, Srimanta Pal, Sushanta Chakraborti:
  Image Thinning by Neural Networks. 122-128
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Volume 11, Number 3-4, June 2003

• S. Mikami, Shigetoshi Nara:
  Dynamical Responses of Chaotic Memory Dynamics to Weak Input in a Recurrent Neural Network Model. 129-136
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• Yoshikazu Suemitsu, Shigetoshi Nara:
  A Note on Time Delayed Effect in a Recurrent Neural Network Model. 137-143
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• Tamer Ölmez, Zümray Dokur:
  Application of InP Neural Network to ECG BeatClassification. 144-155
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• Zhi-Hua Zhou, Shifu Chen:
  Evolving Fault-Tolerant Neural Networks. 156-160
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• J. Fry, P. Jennings:
  Using Multi-Layer Perceptrons to Predict Vehicle Pass-By Noise. 161-167
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• Zümray Dokur, Tamer Ölmez:
  Segmentation of MR and CT Images by Using a Quantiser Neural Network. 168-177
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• Mahrokh G. Shayesteh, Hamidreza Amindavar:
  Neural Networks for Multiuser Detection of Signals in DS/CDMA Systems. 178-190
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• P. J. Lyons:
  Biologically Inspired Models to Train Neural Networks. 191-202
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• Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist:
  Learning an Adaptive Dissimilarity Measure for Nearest Neighbour Classification. 203-209
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• T. Makino:
  A Discrete-Event Neural Network Simulator for General Neuron Models. 210-223
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• Richard J. Duro, José Santos Reyes:
  Modelling Temporal Series Through Synaptic Delay-based Neural Networks. 224-237
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• Markku Siermala, Martti Juhola, Mauno Vihinen:
  On Postprocessing of Neural Network Prediction of Polyproline Type II Secondary Structures: Network Spectrum, Response Analysis, and Scattering. 238-243
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• L. Cao, H. P. Lee, C. K. Seng, Q. Gu:
  Saliency Analysis of Support Vector Machines for Gene Selection in Tissue Classification. 244-249
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