Abstract is missing.
- Biophysics of Neural ComputationK. Nicholas Leibovic. 1-11
- Integrated Learning in Rana ComputatrixFernando J. Corbacho, Michael A. Arbib. 12-19
- A Model for Centering Visual Stimuli Through Adaptive Value LearningA. Murciano, J. Zamora, M. Reviriego. 20-23
- A Model for the Development of Neurons Selective to Visual Stimulus SizeMiguel A. Andrade, Federico Morán. 24-29
- An Invariant Representation Mechanism After Presynaptic InhibitionRoberto Moreno-Díaz Jr., Olga Bolívar Toledo. 30-36
- The Pancreatic B-Cell as a Voltage-Controlled OscillatorJuan Vicente Sánchez-Andrés, Bernat Soria. 37-42
- Approximation of the Solution of the Dendritic Cable Equation by a Small Series of Coupled Differential EquationsJaap Hoekstra. 43-48
- A Neural Network Model Inspired in Global Appreciations About the Thalamic Reticular Nucleus and Cerebral Cortex ConnectivityJavier Ropero Peláez. 49-54
- Towards More Realistic Self Contained Models of Neurons: High-Order, Recurrence and Local LearningJosé Mira, Ana E. Delgado García, José R. Álvarez, A. P. de Madrid, Matilde Santos. 55-62
- McCulloch s Neurons RevisitedRobert J. Scott. 63-67
- Biologically Motivated Approach to Face RecognitionNicolai Petkov, Peter Kruizinga, Tino Lourens. 68-77
- Learning By Reinforcement: A Psychobiological ModelFrancisco J. Vico, Francisco Sandoval Hernández, J. Almaraz. 78-83
- A Neural State Machine for Iconic Language RepresentationIgor Aleksander, Helen Morton. 84-89
- Variable Binding Using Serial Order in Recurrent Neural NetworksJoan Lòpez-Moliner, Josep M. Sopena. 90-95
- Region of Influence (ROI) Networks. Model and ImplementationF. Castillo, Joan Cabestany, Juan Manuel Moreno. 96-101
- A Node Splitting Algorithm that Reduces the Number of Connections in a Hamming Distance Classifying NetworkHarald Hüning. 102-107
- A High Order Neural ModelFrancisco Javier López Aligué, M. Isabel Acevedo Sotoca, Miguel A. Jaramillo Morán. 108-113
- Higher-Order Networks for the Optimization of Block DesignsPau Bofill, Carme Torras. 114-118
- Neural Bayesian ClassifierChristian Jutten, Pierre Comon. 119-124
- Constructive Methods for a New Classifier Based on a Radial-Basis-Function Neural Network Accelerated by a TreePhilippe Gentric, Heini C. A. M. Withagen. 125-130
- Practical Realization of a Radial Basis Function Network for Handwritten Digit RecognitionBernard Lemarié. 131-136
- Design of Fully and Partially Connected Random Neural Networks for Pattern CompletionChristine Hubert. 137-142
- Representation and Recognition of Regular Grammars by Means of Second-Order Recurrent Neural NetworksRené Alquézar, Alberto Sanfeliu. 143-148
- Connectionist Models for Syllabic Recognition in the Time DomainJosé Santos Reyes, Ramón P. Otero. 149-154
- Sparsely Interconnected Artificial Neural Networks for Associative MemoriesDerong Liu, Anthony N. Michel. 155-160
- Dynamic Analysis of Networks of Neural OscillatorsA. Arenas, Conrado J. Pérez-Vicente. 161-166
- Optimised Attractor Neural Networks with External InputsAnthony N. Burkitt. 167-172
- Non-Orthogonal Bases and Metric Tensors: An Application to Artificial Neural NetworksKonrad Weigl, Marc Berthod. 173-178
- Genetic Synthesis of Discrete-Time Recurrent Neural NetworkFrancisco Javier Marín Martín, Francisco Sandoval Hernández. 179-184
- Optimization of a Competitive Learning Neural Network by Genetic AlgorithmsJuan J. Merelo Guervós, M. Patón, Antonio Cañas, Alberto Prieto, Federico Morán. 185-192
- Adaptive Models in Neural NetworksPanos A. Ligomenides. 193-197
- Self-Organizing Grammar Induction Using a Neural Network ModelChristian Mannes. 198-203
- The Role of Forgetting in Efficient Learning Strategies for Self-Organising Discriminator-Based SystemsGeorge Tambouratzis, T. John Stonham. 204-209
- Simulation of Stochastic Regular Grammars through Simple Recurrent NetworksM. Asunción Castaño, Francisco Casacuberta, Enrique Vidal. 210-215
- Local Stochastic Competition and Vector QuantizationManuel Graña, Alicia D Anjou, F. Xabier Albizuri, Francisco Javier Torrealdea, M. C. Hernandez. 216-222
- MHC - An Evolutive Connectionist Model for Hybrid TrainingJosé M. Ramírez. 223-229
- Fast-Convergence Learning Algorithms for Multi-Level and Binary Neurons and Solution of Some Image Processing ProblemsNaum N. Aizenberg, Igor N. Aizenberg. 230-236
- Invariant Object Recognition Using Fahlman and Lebiere s Learning AlgorithmKazuki Ito, Masanori Hamamoto, Joarder Kamruzzaman, Yukio Kumagai. 237-242
- Realization of Surjective Correspondence in Artificial Neural Network Trained by Fahlman and Lebiere s Learning AlgorithmMasanori Hamamoto, Kazuki Ito, Joarder Kamruzzaman, Yukio Kumagai. 243-248
- Bimodal Distribution RemovalP. Slade, Tamás D. Gedeon. 249-254
- A Simplified Artmap Architecture for Real-Time LearningAlex Guazzelli, Dante Barone, Edson de Barros Carvalho Filho. 255-260
- B-Learning: A Reinforcement Learning Algorithm, Comparison with Dynamic ProgrammingThibault Langlois, Stéphane Canu. 261-266
- Increased Complexity TrainingIan Cloete, Jacques Ludik. 267-271
- Optimiized Learning for Improving the Evolution of Piecewise Linear Separation Incremental AlgorithmsJuan Manuel Moreno, F. Castillo, Joan Cabestany. 272-277
- A Method of Pruning Layered Feed-Forward Neural NetworksMarcello Pelillo, Anna Maria Fanelli. 278-283
- Tests of Different Regularization Terms in Small NetworksJosé Luis Crespo, Eduardo Mora. 284-290
- On the Distribution of Feature Space in Self-Organising Mapping and Convergence Accelerating by a Kalman AlgorithmHujun Yin, Nigel M. Allinson. 291-296
- A Learning Algorithm to Obtain Self-Organizing Maps Using Fixed Neighbourhood Kohonen NetworksP. Martin-Smith, Francisco J. Pelayo, Antonio F. Díaz, Julio Ortega, Alberto Prieto. 297-304
- Analysing a Contingency Table with Kohonen Maps: A Factorial Correspondence AnalysisMarie Cottrell, Patrick Letrémy, Elisabeth Roy. 305-311
- Dynamics of Self-Organized Feature MappingRalf Der, Thomas Villmann. 312-315
- Comparative Study of Self-Organizing Neural NetworksChin-Der Wann, Stelios C. A. Thomopoulos. 316-321
- GANNet: A Genetic Algorithm for Optimizing Topology and Weights in Neural Network DesignDavid White, Panos A. Ligomenides. 322-327
- Vector Quantization and Projection Neural NetworkPierre Demartines, Jeanny Hérault. 328-333
- Constructive Design of LVQ and DSM ClassifiersJuan Carlos Pérez-Cortes, Enrique Vidal. 334-339
- Linear Vector Classification: An Improvement on LVQ Algorithms to Create Classes of PatternsMichel Verleysen, Philippe Thissen, Jean-Didier Legat. 340-345
- Non-Greedy Adaptive Vector QuantizersZhicheng Wang. 346-350
- Hybrid Programming EnvironmentsPhilip C. Treleaven, Paulo V. Rocha. 351-357
- Automatic Generation of C:::++::: Code for Neural Network SimulationStephan Dreiseitl, Dongming Wang. 358-363
- URANO: An Object-Oriented Artificial Neural Network Simulation ToolLidia Fuentes, José Francisco Aldana Montes, José M. Troya. 364-369
- Realistic Simulation Tool for Early Visual Processing Including Space, Time and Colour DataWilliam Beaudot, Patricia Palagi, Jeanny Hérault. 370-375
- Language Supported Storage and Reuse of Persistent Neural Network ObjectsChristopher Burdorf. 376-381
- Flexible Operating Environment for Matrix Based NeurocomputersJohn C. Taylor, Michael Recce, Anoop S. Mangat. 382-387
- A Parallel Implementation of Kohonen s Self-Organizing Maps on the Smart NeurocomputerE. Filippi, J. C. Lawson. 388-393
- Simulation of Neural Networks in a Distributed Computing Environment Using NeuroGraphPeter Wilke. 394-398
- Full Automatic ANN Design: A Genetic ApproachEnrique Alba, José Francisco Aldana Montes, José M. Troya. 399-404
- Hardware Implementations of Artificial Neural NetworksDante Del Corso. 405-419
- A Neural Network Chip Using CPWM ModulationMarcello Chiaberge, Dante Del Corso, Francesco Gregoretti, Leonardo Maria Reyneri. 420-425
- Hardware Implementation of a Neural Network for High Energy Physics ApplicationJordi Carrabina, Ferran Lisa, Vicens Gaitan, Lluís Garrido, Elena Valderrama. 426-431
- MapA: An Array Processor Architecture for Neural NetworksJulio Ortega, Francisco J. Pelayo, Alberto Prieto, Begoña Pino, Carlos García Puntonet. 432-440
- Limitation of Connectionism in MLPCarlos V. Regueiro, Senén Barro, A. Yáñez. 441-447
- High Level Syntheses of Neural Network ChipsMeyer E. Nigri, Philip C. Treleaven. 448-453
- Neural Network Simulations on Massively Parallel Computers: Applications in Chemical PhysicsBobby G. Sumpter, Raymond E. Guenther, Christian Halloy, Coral Getino, Donald W. Noid. 454-458
- A Model Based Approach to the Performance Analysis of Multi-Layer Networks Realised in Linear Systolic ArraysDavid Naylor, Simon Jones. 459-464
- The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory InputsChris Christodoulou, Guido Bugmann, Trevor G. Clarkson, John G. Taylor. 465-470
- Architectures for Self-Learning Neural Networks ModulesTrevor G. Clarkson, C. K. Ng. 471-475
- The ::::Generic Neuron:::: Architectural Framework for the Automatic Generation of ASICsMarley B. R. Vellasco, Philip C. Treleaven. 476-481
- A Risc Architecture to Support Neural Net SimulationMarco Aurélio Cavalcanti Pacheco, Philip C. Treleaven. 482-487
- Hardware Design for Self-Organizing Feature Maps with Binary Input VectorsStefan Rüping, Ulrich Rückert, Karl Goser. 488-493
- The Kolmogorov Signal ProcessorMiguel Angel Lagunas, Ana I. Pérez-Neira, Montse Nájar, Alba Pagés. 494-512
- Projectivity Invariant Pattern Recognition with High-Order Neural NetworksGonzalo Joya Caparrós, Francisco Sandoval Hernández. 513-518
- Rejection of Incorrect Answers from a Neural Net ClassifierFrank J. Smieja. 519-524
- Nonlinear Time Series Modeling by Competitive Segmentation of State SpaceCarlos Pantaleón, Aníbal R. Figueiras-Vidal. 525-530
- Identification and Prediction of Non-Linear Models with Recurrent Neural NetworkOlivier Adam, Jean-Luc Zarader, Maurice Milgram. 531-535
- Use of Unsupervised Neural Networks for Classification of Blood Pressure Time SeriesMaría José Rodríguez, Francisco del Pozo, María Teresa Arredondo. 536-541
- Application of Artificial Neural Networks to Chest Image ClassificationJ. J. Fernandez-Rodriguez, Antonio Cañas, E. Roca, Francisco J. Pelayo, J. Fernandez-Mena, Alberto Prieto. 542-549
- Combination of Self-Organizing Maps and Multilayer Perceptrons for Speaker Independent Isolated Word RecognitionJavier Tuya, E. Arias, Luciano Sánchez, José A. Corrales. 550-555
- An Industrial Application of Neural Networks to Natural Textures ClassificationGérard Yahiaoui, Bertrand Borocco. 556-562
- Use of a Layered Neural Nets as a Display Method for N-Dimensional DisributionsLluís Garrido, Vicens Gaitan, Miquel Serra-Ricart, Xavier Calbet. 563-568
- MLP Modular Versus YPREL ClassifiersYves Lecourtier, Bernadette Dorizzi, Philippe Sebire, Abdel Ennaji. 569-574
- How Many Hidden Neurons Are Needed to Recognize a Symmetrical Pattern?Jocelyn Patinel, Gilles Leone, Maurice Milgram. 575-582
- Hopfield Neural Network for RoutingSalvatore Cavalieri, Antonella Di Stefano, Orazio Mirabella. 583-592
- Neural Network Touting Controller for Communication Parallel Multistage Interconnection NetworksA. García-Lopera, Antonio Díaz Estrella, F. García Oller, Francisco Sandoval Hernández. 593-598
- Adaptive Routing Using Cellular AutomataJoël Minot. 599-604
- Optimal Blind Equalization of Gaussian ChannelsJesús Cid-Sueiro, Luis Weruaga-Prieto, Aníbal R. Figueiras-Vidal. 605-610
- Noise Prediction in Urban Traffic by a Neural ApproachG. Cammarata, Salvatore Cavalieri, A. Fichera, L. Marletta. 611-619
- A Connectionist Approach to the Correspondence Problem in Computer VisionHiroshi Sako, Hadar I. Avi-Itzhak. 620-625
- Self-Organizing Feature Maps for Image SegmentationRené Natowicz, Robert Sokol. 626-631
- Recognition of Fractal Images Using a Neural NetworkBernd Freisleben, John-Hendrik Greve, Joakim Löber. 632-637
- Feed Forward Network for Vehicle License Character RecognitionFerran Lisa, Jordi Carrabina, Conrado J. Pérez-Vicente, Narcís Avellana, Elena Valderrama. 638-644
- Interpretation of Optical Flow Through Complex Neural NetworkMinami Miyauchi, Masatoshi Seki, Akira Watanabe, Arata Miyauchi. 645-650
- CT Image Segmentation by Self-Organizing LearningDiego Cabello, Manuel G. Penedo, Senén Barro, Xosé Manuel Pardo López, J. Heras. 651-656
- Texture Image Segmentatoin Using a Modified Hopfield NetworkAntonio Mosquera González, Diego Cabello, María J. Carreira, Manuel G. Penedo. 657-663
- Image Compression with Self-Organizing NetworksBernd Freisleben, Maximilian Mengel. 664-669
- Neural Networks as Direct Adaptive ControllersMohammad Bahrami. 670-675
- A Neural Adaptive Controller for a Turbofan Exhaust NozzleClaude Barret, M. Houkari, Ph. Meyne, J. M. Martinez, A. Garassino, P. Tormo. 676-681
- Feed-Forward Neural Networks for Bioreactor ControlAbhay B. Bulsari, Bjørn Saxén, Henrik Saxén. 682-687
- Learning Networks for Process Identification and Association ActionLisa Borland, Hermann Haken. 688-693
- On-line Performance Enhancement of a Behavioral Neural Network ControllerJ. R. Pimentel, D. Gachet, Luis Moreno, Miguel Angel Salichs. 694-701
- An Architecture for Implementing Control and Signal Processing Neural NetworksRichard P. Palmer, Peter Rounce. 702-707
- Planlite: Adaptive Planning Using Weigthless SystemsJanco Mrsic-Flögel. 708-713
- Stock Prices and Volume in an Artificial Adaptive Stock MarketSergio Margarita, Andrea Beltratti. 714-719
- Application of the Fuzzy Artmap Neural Network Architecture to Bank Failure PredicitonsLuis J. de Miguel, Elena Revilla, J. Miguel Rodríguez, J. Manuel Cano. 720-725
- Combination of Neural Network and Statistical Methods for Sensory Evaluation of Biological Products: On-line Beauty Selection of FloweersF. Ros, A. Brons, F. Sevila, G. Rabatel, Claude F. Touzet. 726-731
- An Adaptive Information Retrieval System Based on Neural NetworksFabio Crestani. 732-737
- Software Pattern EEG Recognition After a Wavelet Transform by a Neural NetworkP. Clochon, D. Clarencon, R. Caterini, V. Roman. 738-743