Neural Networks

Preface - Biological Foundations: components of the brain, functional principles - Neural Models: a synthetic neuron, structure of connections, state dynamics, connection dynamics, functioning of the models, the perceptron - From Single Layer to Multi Layer Neural Networks: associate networks and pattern recognition, single layer associative networks, back-propagation, development of the back-propagation model - Hopfield Model: content addressable memory, the model, use in optimisation problems, simulated annealing, the Boltzmann machine - Kohonen Model: a general model, self adaptive topological maps, adaptive filters, pattern recognition - Applications of Neural Networks: reasons for using neural networks, methodology, review of applications, radio communication application - Neural Computers: model for a general neurocomputer, commercial implementations, prototypes and prospects