Soulié F.F., Hérault J. (eds.) Neurocomputing. Algorithms, Architectures and Applications

Springer, 1990. — 454.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, 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 occasion for me and some of the early birds of the 1985 conference to realize how much, and how little too, the field had matured.Part 1 Algorithms
Incorporating knowledge in multi-layer networks: the example of protein secondary structure prediction
Product units with trainable exponents and multi-layer networks
Recurrent backpropagation and Hopfie1d networks
Optimization of the number of hidden cells in a multilayer perceptron. Validation in the linear case
Single-layer learning revisited: a stepwise procedure for building and training a neural network
Synchronous Boltzmann machines and Gibbs fields: learning algorithms
Fast computation of Kohonen self-organization
Learning algorithms in neural networks: recent results
Statistical approach to the Jutten-Herault algorithm
The N programming language
Neural networks dynamics
Dynamical analysis of classifier systems
Neuro-computing aspects in motor planning and control
Neural networks and symbolic A.1.
Part 2 Architectures
Integrated artificial neural networks: components for higher level architectures with new properties
Basic VLSI circuits for neural networks
An analog VLSI architecture for large neural networks
Analog implementation of a permanent unsupervised learning algorithm
An analog cell for VLSI implementation of neural networks
Use of pulse rate and width modulations in a mixed analog/digital cell for artificial neural systems
Parallel implementation of a multi-layer perceptron
A monolithic processor array for stochastic relaxation using optical random number generation
Dedicated neural network: a retina for edge detection
Neural network applications in the Edinburgh concurrent supercomputer project
The semi-parallel architectures of neuro computers
Part 3 Speech
Speech coding with multilayer networks
Statistical inference in multilayer perceptrons and hidden Markov models with applications in continuous speech recognition
Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition
Data compression using multihyer perceptrons
Guided propagation: current state of theory and applications
Speaker adaptation using multi-layer feed-forward automata and canonical correlation analysis
Analysis ,of linear predictive data as speech and of ARMA processes by a class of single-layer connectionist models
High and low level speech processing by competitive neural networks: from psychology to simulation
Connected word recognition using neural networks
Part 4 Image
Handwritten digit recognition: applications of neural net chips and automatic learning
A method to de-alias the scatterometer wind field: a real world application
Detection of microcalcifications in mammographic images
What is a feature, that it may define a character, and a character, that it may be defined by a feature?
A study of image compression with backpropagation
Distortion invariant image recognition by Madaline and back-propagation learning multi-networks
An algorithm for optical flow
Part 5 Neuro-biology
Multicellular processing units for neural networks: model of columns in the cerebral cortex
A potentially powerful connectionist unit: the cortical column
Complex information processing in real neurons
Formal approach and neural network simulation of the co-ordination between posture and movement
Cheapmonkey: comparing an ANN and the primate brain on a simple perceptual task: orientation discrimination