- Martti Juhola, Antti Vauhkonen, Matti Laine:
**Simulation of aphasic naming errors in finnish language with neural networks.**1-9

- Mark D. Plumbley:
**Lyapunov functions for convergence of principal component algorithms.**11-23

- Simone Santini, Alberto Del Bimbo:
**Recurrent neural networks can be trained to be maximum a posteriori probability classifiers.**25-29

- Jonathan Wray, Gary G. R. Green:
**Neural networks, approximation theory, and finite precision computation.**31-37

- N. Alberto Borghese, Michael A. Arbib:
**Generation of temporal sequences using local dynamic programming.**39-54

- Stephen L. Thaler:
**"Virtual input" phenomena within the death of a simple pattern associator.**55-65

- Jean Koh, Minsoo Suk, Suchendra M. Bhandarkar:
**A multilayer self-organizing feature map for range image segmentation.**67-86

- Haruo Kobayashi, Takashi Matsumoto, Tetsuya Yagi, Koji Tanaka:
**Light-adaptive architectures for regularization vision chips.**87-101

- Eduardo Zalama Casanova, Paolo Gaudiano, Juan López Coronado:
**A real-time, unsupervised neural network for the low-level control of a mobile robot in a nonstationary environment.**103-123

- Roy Glasius, Andrzej Komoda, Stan C. A. M. Gielen:
**Neural Network Dynamics for Path Planning and Obstacle Avoidance.**125-133

- Simone Santini, Alberto Del Bimbo, Ramesh Jain:
**Block-structured recurrent neural networks.**135-147

- Itiel E. Dror, Mark Zagaeski, Cynthia F. Moss:
**Three-Dimensional target recognition via sonar: A neural network model.**149-160

- Kouichirou Yamauchi, Megumu Fukuda, Kunihiko Fukushima:
**Speed invariant speech recognition using variable velocity delay lines.**167-177

- Asim Roy, Sandeep Govil, Raymond Miranda:
**An algorithm to generate radial basis function (RBF)-like nets for classification problems.**179-201

- Juxin Huang, Michael Georgiopoulos, Gregory L. Heileman:
**Fuzzy ART properties.**203-213

- Yong Liu:
**Unbiased estimate of generalization error and model selection in neural network.**215-219

- Bo Zhang, Ling Zhang, Huai Zhang:
**The complexity of learning in PLN networks.**221-228

- Atsushi Hiroike, Takashi Omori:
**Noise-induced order in the randomly asymmetric Hopfield model.**229-236

- Stavros J. Perantonis, Dimitris A. Karras:
**An efficient constrained learning algorithm with momentum acceleration.**237-249

- Yutaka Maeda, Hiroaki Hirano, Yakichi Kanata:
**A learning rule of neural networks via simultaneous perturbation and its hardware implementation.**251-259

- Jirí Síma:
**Neural expert systems.**261-271

- Stephen A. Billings, Chi F. Fling:
**Recurrent radial basis function networks for adaptive noise cancellation.**273-290

- Klaus A. Gernoth, John W. Clark:
**Neural networks that learn to predict probabilities: Global models of nuclear stability and decay.**291-311

- Carl-Fredrik Bassøe:
**Automated diagnoses from clinical narratives: A medical system based on computerized medical records, natural language processing, and neural network technology.**313-319

- Jonathan A. Marshall:
**Adaptive perceptual pattern recognition by self-organizing neural networks: Context, uncertainty, multiplicity, and scale.**335-362

- Hiroshi Yamakawa, Yoichi Okabe:
**A neural network-like critic for reinforcement learning.**363-373

- Lucas C. Parra, Gustavo Deco:
**Continuous Boltzmann machine with rotor neurons.**375-385

- Andreas Wendemuth:
**Stabilities in optimal cluster separation networks.**387-390

- Tomoki Fukai, Jongho Kim, Masatoshi Shiino:
**Retrieval properties of analog neural networks and the nonmonotonicity of transfer functions.**391-404

- Alan M. N. Fu, Hong Yan:
**Distributive properties of main overlap and noise terms in Autoassociative Memory Networks.**405-410

- Kiyotoshi Matsuoka, Masahiro Ohoya, Mitsuru Kawamoto:
**A neural net for blind separation of nonstationary signals.**411-419

- Frank Pasemann:
**Characterization of periodic attractors in neural ring networks.**421-429

- Thomas Schnelle:
**Local fields in optimal perceptrons with correlated patterns.**431-436

- Ah-Hwee Tan:
**Adaptive resonance associative map.**437-446

- Daw-Tung Lin, Judith E. Dayhoff, Panos A. Ligomenides:
**Trajectory production with the adaptive time-delay neural network.**447-461

- James M. Missler, Farhad Kamangar:
**A neural network for pursuit tracking inspired by the fly visual system.**463-480

- A. Ravichandran, B. Yegnanarayana:
**Studies on object recognition from degraded images using neural networks.**481-488

- Kevin N. Gurney:
**Letter to the editor.**489-

- Trevor G. Clarkson, John G. Taylor, Denise Gorse:
**Response to letter by K. Gurney.**491-

- Richard S. Zemel, Christopher K. I. Williams, Michael Mozer:
**Lending direction to neural networks.**503-512

- Bernd-Jürgen Falkowski:
**Probabilistic perceptrons.**513-523

- Gustavo Deco, Wilfried Brauer:
**Nonlinear higher-order statistical decorrelation by volume-conserving neural architectures.**525-535

- Hilbert J. Kappen:
**Deterministic learning rules for boltzmann machines.**537-548

- Juha Karhunen, Jyrki Joutsensalo:
**Generalizations of principal component analysis, optimization problems, and neural networks.**549-562

- Ramana Vitthal, P. Sunthar, Ch. Durgaprasada Rao:
**The generalized proportional-integral-derivative (PID) gradient descent back propagation algorithm.**563-569

- Paul L. Springer, Sandeep Gulati:
**Parallelizing the cascade-correlation algorithm using time warp.**571-577

- Simone Santini, Alberto Del Bimbo:
**Properties of block feedback neural networks.**579-596

- Roelof K. Brouwer:
**A method for training recurrent neural networks for classification by building basins of attraction.**597-603

- Cheng-An Hung, Sheng-Fuu Lin:
**Adaptive hamming net: A fast-learning ART 1 model without searching.**605-618

- Shaun Marriott, Robert F. Harrison:
**A modified fuzzy ARTMAP architecture for the approximation of noisy mappings.**619-641

- Jayanta Basak, Nikhil R. Pal, Sankar K. Pal:
**A connectionist system for learning and recognition of structures: Application to handwritten characters.**643-657

- Jagesh V. Shah, Chi-Sang Poon:
**Observations on characterization of training errors in supervised learning using gradient-based rules.**659-

- Jun Wang, Behnam Malakooti:
**Author's response.**660-

- Jian Yang, Adam Reeves:
**Bottom-up visual image processing probed with weighted hermite polynomials.**669-691

- Pierre Chauvet, Gilbert A. Chauvet:
**Mathematical conditions for adaptive control in Marr's model of the sensorimotor system.**693-706

- Agus Sudjianto, Mohamad H. Hassoun:
**Statistical basis of nonlinear hebbian learning and application to clustering.**707-715

- Filip Mulier, Vladimir Cherkassky:
**Statistical analysis of self-organization.**717-727

- James C. Bezdek, Nikhil R. Pal:
**Two soft relatives of learning vector quantization.**729-743

- Vera Kurvoká:
**Approximation of functions by perceptron networks with bounded number of hidden units.**745-750

- Gustavo Deco, Dragan Obradovic:
**Linear redundancy reduction learning.**751-755

- Bertrand G. Giraud, Alan S. Lapedes, Lon Chang Liu, Jörg C. Lemm:
**Lorentzian neural nets.**757-767

- Hojjat Adeli, Hyo Seon Park:
**Optimization of space structures by neural dynamics.**769-781

- Seong-Whan Lee:
**Multilayer cluster neural network for totally unconstrained handwritten numeral recognition.**783-792

- Mark W. Goudreau, C. Lee Giles:
**Using recurrent neural networks to learn the structure of interconnection networks.**793-804

- Jesús Manuel de la Cruz, Gonzalo Pajares, Joaquín Aranda Almansa:
**A Neural Network model in stereovision matching.**805-813

- Lorenzo Moreno, José D. Piñeiro, José L. Sánchez, Soledad Mañas, Juan J. Merino, Leopoldo Acosta, Alberto F. Hamilton:
**Using neural networks to improve classification: Application to brain maturation.**815-820

- Zheru Chi, Hong Yan:
**Handwritten numeral recognition using a small number of fuzzy rules with optimized defuzzification parameters.**821-827

- Masato Okada:
**A hierarchy of macrodynamical equations for associative memory.**833-838

- Yoji Uno, Naohiro Fukumura, Ryoji Suzuki, Mitsuo Kawato:
**A computational model for recognizing objects and planning hand shapes in grasping movements.**839-851

- H. Chris Tseng, Dragoslav D. Siljak:
**A learning scheme for dynamic neural networks: Equilibrium manifold and connective stability.**853-864

- Frank E. McFadden:
**Convergence of competitive activation models based on virtual lateral inhibition.**865-875

- Stephen A. Billings, Guang L. Zheng:
**Radial basis function network configuration using genetic algorithms.**877-890

- Dominique Martinez, Marc M. Van Hulle:
**Generalized boundary adaptation rule for minimizing rth power law distortion in high resolution quantization.**891-900

- R. J. Gaynier, T. Downs:
**Sinusoidal and monotonic transfer functions: Implications for VC dimension.**901-904

- Ralph D. Mason, William Robertson:
**Mapping hierarchical neural networks to VLSI hardware.**905-913

- Luonan Chen, Kazuyuki Aihara:
**Chaotic simulated annealing by a neural network model with transient chaos.**915-930

- S. D. Hunt, John R. Deller Jr.:
**Selective training of feedforward artificial neural networks using matrix perturbation theory.**931-944

- Dogan Alpsan, Michael Towsey, Ozcan Ozdamar, Ah Chung Tsoi, Dhanjoo N. Ghista:
**Efficacy of modified backpropagation and optimisation methods on a real-world medical problem.**945-962

- G. Cammarata, Salvatore Cavalieri, A. Fichera:
**A neural network architecture for noise prediction.**963-973

- P. P. Raghu, R. Poongodi, B. Yegnanarayana:
**A combined neural network approach for texture classification.**975-987

- David Casasent, Sanjay Natarajan:
**A classifier neural net with complex-valued weights and square-law nonlinearities.**989-998

- Stephen Grossberg, Harold Hawkins, Allen M. Waxman:
**Introduction: 1995 special issue automatic target recognition.**1003-

- Stephen Grossberg, Ennio Mingolla, James R. Williamson:
**Synthetic aperture radar processing by a multiple scale neural system for boundary and surface representation.**1005-1028

- Allen M. Waxman, Michael Seibert, Alan N. Gove, David A. Fay, Ann Marie Bernardon, Carol Lazott, William R. Steele, Robert K. Cunningham:
**Neural processing of targets in visible, multispectral IR and SAR imagery.**1029-1051

- Gary R. Bradski, Stephen Grossberg:
**Fast-learning VIEWNET architectures for recognizing three-dimensional objects from multiple two-dimensional views.**1053-1080

- Mark W. Koch, Mary M. Moya, Larry D. Hostetler, R. Joseph Fogler:
**Cueing, feature discovery, and one-class learning for synthetic aperture radar automatic target recognition.**1081-1102

- Ann Marie Bernardon, James E. Carrick:
**A neural system for automatic target learning and recognition applied to bare and camouflaged SAR targets.**1103-1108

- Mark A. Rubin:
**Application of fuzzy ARTMAP and ART-EMAP to automatic target recognition using radar range profiles.**1109-1116

- David Casasent, Leonard M. Neiberg:
**Classifier and shift-invariant automatic target recognition neural networks.**1117-1129

- John W. Fisher III, José Carlos Príncipe:
**A nonlinear extension of the MACE filter.**1131-1141

- Paul Sajda, Clay Spence, Steven C. Hsu, John C. Pearson:
**Integrating neural networks with image pyramids to learn target context.**1143-1152

- Steven K. Rogers, John M. Colombi, Curtis E. Martin, James C. Gainey, Kenneth H. Fielding, Tom J. Burns, Dennis W. Ruck, Matthew Kabrisky, Mark E. Oxley:
**Neural networks for automatic target recognition.**1153-1184

- Leonid I. Perlovsky, Julian A. Chernick, William H. Schoendorf:
**Multi-sensor ATR and identification of friend or foe using MLANS.**1185-1200

- Shih-Chung Ben Lo, Heang-Ping Chan, Jyh-Shyan Lin, Huai Li, Matthew T. Freedman, Seong K. Mun:
**Artificial convolution neural network for medical image pattern recognition.**1201-1214

- Terrance L. Huntsberger:
**Biologically motivated cross-modality sensory fusion system for automatic target recognition.**1215-1226

- Sivasubramaniam Ramanan, Rasmus S. Petersen, Trevor G. Clarkson, John G. Taylor:
**pRAM nets for detection of small targets in sequences of infra-red images.**1227-1237

- James A. Simmons, Prestor A. Saillant, Janine M. Wotton, Tim Haresign, Michael J. Ferragamo, Cynthia F. Moss:
**Composition of biosonar images for target recognition by echolocating bats.**1239-1261

- Herbert L. Roitblat, Whitlow W. L. Au, Paul E. Nachtigall, Reid H. Shizumura, Gerald C. Moons:
**Sonar recognition of targets embedded in sediment.**1263-1273

- Richard A. Altes:
**Signal processing for target recognition in biosonar.**1275-1295

- Eric L. Schwartz, Douglas N. Greve, Giorgio Bonmassar:
**Space-variant active vision: Definition, overview and examples.**1297-1308

- Robert Hecht-Nielsen, Yi-Tong Zhou:
**VARTAC: A foveal active vision ATR system.**1309-1321

- Andreas G. Andreou, Richard C. Meitzler, Kim Strohbehn, Kwabena Boahen:
**Analog VLSI neuromorphic image acquisition and pre-processing systems.**1323-1347

- David K. Andes, James C. Witham, Michael D. Miles:
**MAVIS: A special purpose neural computational system for ATR.**1349-1358

- C. Lee Giles, Bill G. Horne, Tsungnan Lin:
**Learning a class of large finite state machines with a recurrent neural network.**1359-1365

- Danil V. Prokhorov, Roberto A. Santiago, Donald C. Wunsch II:
**Adaptive critic designs: A case study for neurocontrol.**1367-1372

- Bart Truyen, Jan Cornelis:
**Adiabatic layering: A new concept of hierarchical multi-scale optimization.**1373-1378

- Shun-ichi Amari:
**Information geometry of the EM and em algorithms for neural networks.**1379-1408

- Michael I. Jordan, Lei Xu:
**Convergence results for the EM approach to mixtures of experts architectures.**1409-1431

- Margarita Kuzmina:
**The recalling process dynamics of associative memory neural networks in macrodynamical approach.**1433-1438

- Soheil Shams:
**Multiple elastic modules for visual pattern recognition.**1439-1453

- Paul D. Gader, Joseph R. Miramonti, Yonggwan Won, Patrick Coffield:
**Segmentation free shared weight networks for automatic vehicle detection.**1457-1473

- Heggere S. Ranganath, Derek E. Kerstetter, S. Richard F. Sims:
**Self partitioning neural networks for target recognition.**1475-1486