ABSTRACT

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.

chapter 1|10 pages

Introduction

chapter 2|31 pages

The Hopfield Model

chapter 3|27 pages

Extensions of the Hopfield Model

chapter 4|17 pages

Optimization Problems

chapter 5|26 pages

Simple Perceptrons

chapter 6|48 pages

Multi-Layer Networks

chapter 7|34 pages

Recurrent Networks

chapter 8|19 pages

Unsupervised Hebbian Learning

chapter 9|34 pages

Unsupervised Competitive Learning