Biological Perspectives

• 
  K. Nicholas Leibovic: Biophysics of Neural Computation. 1-11
• 
  Fernando J. Corbacho, Michael A. Arbib: Integrated Learning in Rana Computatrix. 12-19
• 
  Antonio Murciano, Javier Zamora, M. Reviriego: A Model for Centering Visual Stimuli Through Adaptive Value Learning. 20-23
• 
  Miguel A. Andrade, Federico Morán: A Model for the Development of Neurons Selective to Visual Stimulus Size. 24-29
• 
  Roberto Moreno-Díaz Jr., Olga Bolívar Toledo: An Invariant Representation Mechanism After Presynaptic Inhibition. 30-36
• 
  Juan Vicente Sánchez-Andrés, Bernat Soria: The Pancreatic B-Cell as a Voltage-Controlled Oscillator. 37-42
• 
  Jaap Hoekstra: Approximation of the Solution of the Dendritic Cable Equation by a Small Series of Coupled Differential Equations. 43-48
• 
  Javier Ropero Peláez: A Neural Network Model Inspired in Global Appreciations About the Thalamic Reticular Nucleus and Cerebral Cortex Connectivity. 49-54
• 
  José Mira, Ana E. Delgado García, José R. Álvarez, A. P. de Madrid, Matilde Santos: Towards More Realistic Self Contained Models of Neurons: High-Order, Recurrence and Local Learning. 55-62
• 
  Robert J. Scott: McCulloch's Neurons Revisited. 63-67
• 
  Nicolai Petkov, Peter Kruizinga, Tino Lourens: Biologically Motivated Approach to Face Recognition. 68-77
• 
  Francisco J. Vico, Francisco Sandoval Hernández, J. Almaraz: Learning By Reinforcement: A Psychobiological Model. 78-83
• 
  Igor Aleksander, Helen Morton: A Neural State Machine for Iconic Language Representation. 84-89
• 
  Joan Lòpez-Moliner, Josep M. Sopena: Variable Binding Using Serial Order in Recurrent Neural Networks. 90-95

Mathematical Models

• 
  F. Castillo, Joan Cabestany, Juan Manuel Moreno: Region of Influence (ROI) Networks. Model and Implementation. 96-101
• 
  Harald Hüning: A Node Splitting Algorithm that Reduces the Number of Connections in a Hamming Distance Classifying Network. 102-107
• 
  Francisco Javier López Aligué, M. Isabel Acevedo Sotoca, Miguel A. Jaramillo Morán: A High Order Neural Model. 108-113
• 
  Pau Bofill, Carme Torras: Higher-Order Networks for the Optimization of Block Designs. 114-118
• 
  Christian Jutten, Pierre Comon: Neural Bayesian Classifier. 119-124
• 
  Philippe Gentric, Heini C. A. M. Withagen: Constructive Methods for a New Classifier Based on a Radial-Basis-Function Neural Network Accelerated by a Tree. 125-130
• 
  Bernard Lemarié: Practical Realization of a Radial Basis Function Network for Handwritten Digit Recognition. 131-136
• 
  Christine Hubert: Design of Fully and Partially Connected Random Neural Networks for Pattern Completion. 137-142
• 
  René Alquézar, Alberto Sanfeliu: Representation and Recognition of Regular Grammars by Means of Second-Order Recurrent Neural Networks. 143-148
• 
  José Santos Reyes, Ramón P. Otero: Connectionist Models for Syllabic Recognition in the Time Domain. 149-154
• 
  Derong Liu, Anthony N. Michel: Sparsely Interconnected Artificial Neural Networks for Associative Memories. 155-160
• 
  Alex Arenas, Conrado J. Pérez Vicente: Dynamic Analysis of Networks of Neural Oscillators. 161-166
• 
  Anthony N. Burkitt: Optimised Attractor Neural Networks with External Inputs. 167-172
• 
  Konrad Weigl, Marc Berthod: Non-Orthogonal Bases and Metric Tensors: An Application to Artificial Neural Networks. 173-178
• 
  Francisco Javier Marín Martín, Francisco Sandoval Hernández: Genetic Synthesis of Discrete-Time Recurrent Neural Network. 179-184
• 
  Juan J. Merelo Guervós, M. Patón, Antonio Cañas, Alberto Prieto, Federico Morán: Optimization of a Competitive Learning Neural Network by Genetic Algorithms. 185-192
• 
  Panos A. Ligomenides: Adaptive Models in Neural Networks. 193-197

Learning

• 
  Christian Mannes: Self-Organizing Grammar Induction Using a Neural Network Model. 198-203
• 
  George Tambouratzis, T. John Stonham: The Role of Forgetting in Efficient Learning Strategies for Self-Organising Discriminator-Based Systems. 204-209
• 
  M. Asunción Castaño, Francisco Casacuberta, Enrique Vidal: Simulation of Stochastic Regular Grammars through Simple Recurrent Networks. 210-215
• 
  Manuel Graña, Alicia D'Anjou, F. Xabier Albizuri, Francisco Javier Torrealdea, M. C. Hernández: Local Stochastic Competition and Vector Quantization. 216-222
• 
  José M. Ramírez: MHC - An Evolutive Connectionist Model for Hybrid Training. 223-229
• 
  Naum N. Aizenberg, Igor N. Aizenberg: Fast-Convergence Learning Algorithms for Multi-Level and Binary Neurons and Solution of Some Image Processing Problems. 230-236
• 
  Kazuki Ito, Masanori Hamamoto, Joarder Kamruzzaman, Yukio Kumagai: Invariant Object Recognition Using Fahlman and Lebiere's Learning Algorithm. 237-242
• 
  Masanori Hamamoto, Kazuki Ito, Joarder Kamruzzaman, Yukio Kumagai: Realization of Surjective Correspondence in Artificial Neural Network Trained by Fahlman and Lebiere's Learning Algorithm. 243-248
• 
  P. Slade, Tamás D. Gedeon: Bimodal Distribution Removal. 249-254
• 
  Alex Guazzelli, Dante Barone, Edson de Barros Carvalho Filho: A Simplified Artmap Architecture for Real-Time Learning. 255-260
• 
  Thibault Langlois, Stéphane Canu: B-Learning: A Reinforcement Learning Algorithm, Comparison with Dynamic Programming. 261-266
• 
  Ian Cloete, Jacques Ludik: Increased Complexity Training. 267-271
• 
  Juan Manuel Moreno, F. Castillo, Joan Cabestany: Optimiized Learning for Improving the Evolution of Piecewise Linear Separation Incremental Algorithms. 272-277
• 
  Marcello Pelillo, Anna Maria Fanelli: A Method of Pruning Layered Feed-Forward Neural Networks. 278-283
• 
  José Luis Crespo, Eduardo Mora: Tests of Different Regularization Terms in Small Networks. 284-290

Self Organizing Networks and Vector Quantizer

• 
  Hujun Yin, Nigel M. Allinson: On the Distribution of Feature Space in Self-Organising Mapping and Convergence Accelerating by a Kalman Algorithm. 291-296
• 
  P. Martin-Smith, Francisco J. Pelayo, Antonio F. Díaz, Julio Ortega, Alberto Prieto: A Learning Algorithm to Obtain Self-Organizing Maps Using Fixed Neighbourhood Kohonen Networks. 297-304
• 
  Marie Cottrell, Patrick Letrémy, Elisabeth Roy: Analysing a Contingency Table with Kohonen Maps: A Factorial Correspondence Analysis. 305-311
• 
  Ralf Der, Thomas Villmann: Dynamics of Self-Organized Feature Mapping. 312-315
• 
  Chin-Der Wann, Stelios C. A. Thomopoulos: Comparative Study of Self-Organizing Neural Networks. 316-321
• 
  David White, Panos A. Ligomenides: GANNet: A Genetic Algorithm for Optimizing Topology and Weights in Neural Network Design. 322-327
• 
  Pierre Demartines, Jeanny Hérault: Vector Quantization and Projection Neural Network. 328-333
• 
  Juan Carlos Pérez-Cortes, Enrique Vidal: Constructive Design of LVQ and DSM Classifiers. 334-339
• 
  Michel Verleysen, Philippe Thissen, Jean-Didier Legat: Linear Vector Classification: An Improvement on LVQ Algorithms to Create Classes of Patterns. 340-345
• 
  Zhicheng Wang: Non-Greedy Adaptive Vector Quantizers. 346-350

Neural Software

• 
  Philip C. Treleaven, Paulo V. Rocha: Hybrid Programming Environments. 351-357
• 
  Stephan Dreiseitl, Dongming Wang: Automatic Generation of C⁺⁺ Code for Neural Network Simulation. 358-363
• 
  Lidia Fuentes, José Francisco Aldana Montes, José M. Troya: URANO: An Object-Oriented Artificial Neural Network Simulation Tool. 364-369
• 
  William Beaudot, Patricia Palagi, Jeanny Hérault: Realistic Simulation Tool for Early Visual Processing Including Space, Time and Colour Data. 370-375
• 
  Christopher Burdorf: Language Supported Storage and Reuse of Persistent Neural Network Objects. 376-381
• 
  John C. Taylor, Michael Recce, Anoop S. Mangat: Flexible Operating Environment for Matrix Based Neurocomputers. 382-387
• 
  E. Filippi, J. C. Lawson: A Parallel Implementation of Kohonen's Self-Organizing Maps on the Smart Neurocomputer. 388-393
• 
  Peter Wilke: Simulation of Neural Networks in a Distributed Computing Environment Using NeuroGraph. 394-398
• 
  Enrique Alba, José Francisco Aldana Montes, José M. Troya: Full Automatic ANN Design: A Genetic Approach. 399-404

Hardware Implementation

• 
  Dante Del Corso: Hardware Implementations of Artificial Neural Networks. 405-419
• 
  Marcello Chiaberge, Dante Del Corso, Francesco Gregoretti, Leonardo Maria Reyneri: A Neural Network Chip Using CPWM Modulation. 420-425
• 
  Jordi Carrabina, Ferran Lisa, Vicens Gaitan, Lluís Garrido, Elena Valderrama: Hardware Implementation of a Neural Network for High Energy Physics Application. 426-431
• 
  Julio Ortega, Francisco J. Pelayo, Alberto Prieto, Begoña Pino, Carlos García Puntonet: MapA: An Array Processor Architecture for Neural Networks. 432-440
• 
  Carlos V. Regueiro, Senén Barro, A. Yáñez: Limitation of Connectionism in MLP. 441-447
• 
  Meyer E. Nigri, Philip C. Treleaven: High Level Syntheses of Neural Network Chips. 448-453
• 
  Bobby G. Sumpter, Raymond E. Guenther, Christian Halloy, Coral Getino, Donald W. Noid: Neural Network Simulations on Massively Parallel Computers: Applications in Chemical Physics. 454-458
• 
  David Naylor, Simon Jones: A Model Based Approach to the Performance Analysis of Multi-Layer Networks Realised in Linear Systolic Arrays. 459-464
• 
  Chris Christodoulou, Guido Bugmann, Trevor G. Clarkson, John G. Taylor: The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs. 465-470
• 
  Trevor G. Clarkson, C. K. Ng: Architectures for Self-Learning Neural Networks Modules. 471-475
• 
  Marley B. R. Vellasco, Philip C. Treleaven: The Generic Neuron Architectural Framework for the Automatic Generation of ASICs. 476-481
• 
  Marco Aurélio Cavalcanti Pacheco, Philip C. Treleaven: A Risc Architecture to Support Neural Net Simulation. 482-487
• 
  Stefan Rüping, Ulrich Rückert, Karl Goser: Hardware Design for Self-Organizing Feature Maps with Binary Input Vectors. 488-493

Applications

Pattern Recognition and Signal Processing

• 
  Miguel Angel Lagunas, Ana I. Pérez-Neira, Montse Nájar, Alba Pagès-Zamora: The Kolmogorov Signal Processor. 494-512
• 
  Gonzalo Joya Caparrós, Francisco Sandoval Hernández: Projectivity Invariant Pattern Recognition with High-Order Neural Networks. 513-518
• 
  Frank J. Smieja: Rejection of Incorrect Answers from a Neural Net Classifier. 519-524
• 
  Carlos Pantaleón, Aníbal R. Figueiras-Vidal: Nonlinear Time Series Modeling by Competitive Segmentation of State Space. 525-530
• 
  Olivier Adam, Jean-Luc Zarader, Maurice Milgram: Identification and Prediction of Non-Linear Models with Recurrent Neural Network. 531-535
• 
  María José Rodríguez, Francisco del Pozo, María Teresa Arredondo: Use of Unsupervised Neural Networks for Classification of Blood Pressure Time Series. 536-541
• 
  J. J. Fernandez-Rodriguez, Antonio Cañas, E. Roca, Francisco J. Pelayo, J. Fernandez-Mena, Alberto Prieto: Application of Artificial Neural Networks to Chest Image Classification. 542-549
• 
  Javier Tuya, E. Arias, Luciano Sánchez, José A. Corrales: Combination of Self-Organizing Maps and Multilayer Perceptrons for Speaker Independent Isolated Word Recognition. 550-555
• 
  Gérard Yahiaoui, Bertrand Borocco: An Industrial Application of Neural Networks to Natural Textures Classification. 556-562
• 
  Lluís Garrido, Vicens Gaitan, Miquel Serra-Ricart, Xavier Calbet: Use of a Layered Neural Nets as a Display Method for N-Dimensional Disributions. 563-568
• 
  Yves Lecourtier, Bernadette Dorizzi, Philippe Sebire, Abdel Ennaji: MLP Modular Versus YPREL Classifiers. 569-574
• 
  Jocelyn Patinel, Gilles Leone, Maurice Milgram: How Many Hidden Neurons Are Needed to Recognize a Symmetrical Pattern? 575-582

Communication

• 
  Salvatore Cavalieri, Antonella Di Stefano, Orazio Mirabella: Hopfield Neural Network for Routing. 583-592
• 
  A. García-Lopera, Antonio Díaz Estrella, F. García Oller, Francisco Sandoval Hernández: Neural Network Touting Controller for Communication Parallel Multistage Interconnection Networks. 593-598
• 
  Joël Minot: Adaptive Routing Using Cellular Automata. 599-604
• 
  Jesús Cid-Sueiro, Luis Weruaga-Prieto, Aníbal R. Figueiras-Vidal: Optimal Blind Equalization of Gaussian Channels. 605-610
• 
  G. Cammarata, Salvatore Cavalieri, A. Fichera, L. Marletta: Noise Prediction in Urban Traffic by a Neural Approach. 611-619

Artificial Vision

• 
  Hiroshi Sako, Hadar I. Avi-Itzhak: A Connectionist Approach to the Correspondence Problem in Computer Vision. 620-625
• 
  René Natowicz, Robert Sokol: Self-Organizing Feature Maps for Image Segmentation. 626-631
• 
  Bernd Freisleben, John-Hendrik Greve, Joakim Löber: Recognition of Fractal Images Using a Neural Network. 632-637
• 
  Ferran Lisa, Jordi Carrabina, Conrado J. Pérez Vicente, Narcís Avellana, Elena Valderrama: Feed Forward Network for Vehicle License Character Recognition. 638-644
• 
  Minami Miyauchi, Masatoshi Seki, Akira Watanabe, Arata Miyauchi: Interpretation of Optical Flow Through Complex Neural Network. 645-650
• 
  Diego Cabello, Manuel G. Penedo, Senén Barro, Xosé Manuel Pardo López, J. Heras: CT Image Segmentation by Self-Organizing Learning. 651-656
• 
  Antonio Mosquera González, Diego Cabello, María J. Carreira, Manuel G. Penedo: Texture Image Segmentatoin Using a Modified Hopfield Network. 657-663
• 
  Bernd Freisleben, Maximilian Mengel: Image Compression with Self-Organizing Networks. 664-669

Control and Robotic

• 
  Mohammad Bahrami: Neural Networks as Direct Adaptive Controllers. 670-675
• 
  Claude Barret, M. Houkari, Ph. Meyne, J. M. Martinez, A. Garassino, P. Tormo: A Neural Adaptive Controller for a Turbofan Exhaust Nozzle. 676-681
• 
  Abhay B. Bulsari, Bjørn Saxén, Henrik Saxén: Feed-Forward Neural Networks for Bioreactor Control. 682-687
• 
  Lisa Borland, Hermann Haken: Learning Networks for Process Identification and Association Action. 688-693
• 
  J. R. Pimentel, D. Gachet, Luis Moreno, Miguel Angel Salichs: On-line Performance Enhancement of a Behavioral Neural Network Controller. 694-701
• 
  Richard P. Palmer, Peter Rounce: An Architecture for Implementing Control and Signal Processing Neural Networks. 702-707
• 
  Janco Mrsic-Flögel: Planlite: Adaptive Planning Using Weigthless Systems. 708-713

Other Applications

• 
  Sergio Margarita, Andrea Beltratti: Stock Prices and Volume in an Artificial Adaptive Stock Market. 714-719
• 
  Luis J. de Miguel, Elena Revilla, J. Miguel Rodríguez, J. Manuel Cano: Application of the Fuzzy Artmap Neural Network Architecture to Bank Failure Predicitons. 720-725
• 
  F. Ros, A. Brons, F. Sevila, G. Rabatel, Claude F. Touzet: Combination of Neural Network and Statistical Methods for Sensory Evaluation of Biological Products: On-line Beauty Selection of Floweers. 726-731
• 
  Fabio Crestani: An Adaptive Information Retrieval System Based on Neural Networks. 732-737
• 
  P. Clochon, D. Clarencon, R. Caterini, V. Roman: Software Pattern EEG Recognition After a Wavelet Transform by a Neural Network. 738-743

last updated on Wed May 22 04:52:37 2013 by the dblp team
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