Neurocomputing: Algorithms, Architectures and Applications

✍ Scribed by C. Mejia, F. Fogelman Soulié (auth.), Françoise Fogelman Soulié, Jeanny Hérault (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 1990
• Tongue: English
• Leaves: 453
• Series: NATO ASI Series 68
• Edition: 1
• Category: Library

✦ Synopsis

This volume contains the collected papers of the NATO Conference on Neurocomputing, held in Les Arcs in February 1989. For many of us, this conference was reminiscent of another NATO Conference, in 1985, on Disordered Systems [1], which was the first conference on neural nets to be held in France. To some of the participants that conference opened, in a way, the field of neurocomputing (somewhat exotic at that time!) and also allowed for many future fruitful contacts. Since then, the field of neurocomputing has very much evolved and its audience has increased so widely that meetings in the US have often gathered more than 2000 participants. However, the NATO workshops have a distinct atmosphere of free discussions and time for exchange, and so, in 1988, we decided to go for another session. This was an ~casion for me and some of the early birds of the 1985 conference to realize how much, and how little too, the field had matured.

✦ Table of Contents

Front Matter....Pages I-XI
Front Matter....Pages 1-1
Incorporating knowledge in multi-layer networks: the example of protein secondary structure prediction....Pages 3-13
Product Units with Trainable Exponents and Multi-Layer Networks....Pages 15-26
Recurrent Backpropagation and Hopfield Networks....Pages 27-36
Optimization of the number of hidden cells in a multilayer perceptron. Validation in the linear case....Pages 37-40
Single-layer learning revisited: a stepwise procedure for building and training a neural network....Pages 41-50
Synchronous Boltzmann Machines and Gibbs Fields: Learning Algorithms....Pages 51-63
Fast Computation of Kohonen Self-Organization....Pages 65-74
Learning algorithms in neural networks: recent results....Pages 75-79
Statistical approach to the Jutten-Hérault algorithm....Pages 81-88
The N Programming Language....Pages 89-92
Neural Networks Dynamics....Pages 93-102
Dynamical Analysis of Classifier Systems....Pages 103-107
Neuro-Computing Aspects in Motor Planning & Control....Pages 109-115
Neural Networks and Symbolic A.I....Pages 117-120
Front Matter....Pages 121-121
Integrated artificial neural networks: components for higher level architectures with new properties....Pages 123-130
Basic VLSI Circuits for Neural Networks....Pages 131-140
An Analog VLSI Architecture for Large Neural Networks....Pages 141-144
Analog implementation of a permanent unsupervised learning algorithm....Pages 145-152
An Analog Cell for VLSI Implementation of Neural Networks....Pages 153-156
Use of Pulse Rate and Width Modulations in a Mixed Analog/digital Cell for Artificial Neural Systems....Pages 157-160
Front Matter....Pages 121-121
Parallel Implementation of a Multi-Layer Perceptron....Pages 161-166
A monolithic processor array for stochastic relaxation using optical random number generation....Pages 167-172
Dedicated neural network A retina for edge detection....Pages 173-179
Neural Network Applications in the Edinburgh Concurrent Supercomputer Project....Pages 181-193
The Semi-Parallel Architectures of Neuro-Computers....Pages 195-204
Front Matter....Pages 205-205
Speech coding with multilayer networks....Pages 207-216
Statistical Inference in Multilayer Perceptrons and Hidden Markov Models with Applications in Continuous Speech Recognition....Pages 217-226
Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition....Pages 227-236
Data Compression Using Multilayer Perceptrons....Pages 237-240
Guided Propagation: current state of theory and applications....Pages 241-260
Speaker adaptation using multi-layer feed-forward automata and canonical correlation analysis....Pages 261-264
Analysis of linear predictive data as speech and of ARMA processes by a class of single-layer connectionist models....Pages 265-283
High Level Speech Processing by Competitive Neural Networks From Psychology to Simulation....Pages 285-296
Connected Word Recognition Using Neural Networks....Pages 297-300
Front Matter....Pages 301-301
Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic Learning....Pages 303-318
A method to de-alias the scatterometer wind field: a real world application....Pages 319-324
Detection of microcalcifications in mammographic images....Pages 325-328
What is a feature, that it may define a character, and a character, that it may be defined by a feature ?....Pages 329-332
A Study of Image Compression with Backpropagation....Pages 333-336
Distortion Invariant Image Recognition by Madaline and Back-Propagation Learning Multi-Networks....Pages 337-343
Front Matter....Pages 301-301
An Algorithm for Optical Flow....Pages 345-356
Front Matter....Pages 357-357
Multicellular Processing Units for Neural Networks: Model of Columns in the Cerebral Cortex....Pages 359-368
A Potentially Powerful Connectionist Unit: The Cortical Column....Pages 369-377
Complex information processing in real neurones....Pages 379-388
Formal Approach and Neural Network Simulation of the Co-ordination between Posture and Movement....Pages 389-394
Cheapmonkey: Comparing an ANN and the Primate Brain on a Simple Perceptual Task: Orientation Discrimination....Pages 395-404
Back Matter....Pages 405-460

✦ Subjects

Processor Architectures;Computer Appl. in Life Sciences;Neurosciences;Electronics and Microelectronics, Instrumentation;Communications Engineering, Networks;Computation by Abstract Devices