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This book bridges the gap between the highly theoretical level of research in neural networks and the practical, analytical level encountered by those who are not specialised in the neural field. It covers the taxonomy of network paradigms and interrelates the paradigms in a systematic fashion, explores practical implementation in terms of applications and discusses neural products that are in development or on the market: chips, printed circuit boards, systems and software.

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CONTENTS
Preface = vi
Acknowledgements = viii
1 Structure of an Artificial Neural Network = 1
 Artificial Neurons = 1
 Taxonomies = 6
 Neural Network Logic = 11
2 Applications = 12
 Robots = 16
 Implementations = 17
3 The Early Years = 19
 The Perceptron = 19
 The LMS Law = 26
4 The Hopfield Net = 28
 Symbolic Operations = 31
 Network Capacity and False Exemplars = 33
 The Lyapunov Condition = 34
 A Continuous Model = 35
 Hopfield Network Applications = 37
5 Self-Organizing Maps = 42
 Applications of the Self-Organizing Map = 45
 Other Studies of Topological Mapping = 47
 A Note on "Selecting a Winner" = 48
6 Backpropagation = 50
 Error Surface = 51
 Generalized Delta Rule = 53
 Synaptic Changes in Hidden Layers = 56
 Backpropagation Summary = 57
 A Hyperplane Model = 57
 A Neural Speech Synthesizer = 59
 Other Applications = 61
 Limitations and Remedies = 62
 Recurrent Backpropagation = 63
7 Learning Laws and Continued Taxonomy = 66
 Learning Laws = 67
 Unsupervised Learning Laws = 68
8 Adaptive Resonance = 71
 The ART Paradigms = 75
 A Note on Parsimony = 81
9 Bidirectional Associative Memory = 82
 TAM = 86
 MAM = 86
 ABAM = 87
 The Noise-Saturation Dilemma = 89
 ABAM: Implementation = 90
 CABAM = 91
 RABAM = 92
10 Variations on Neural Themes = 95
 The Boltzmann Machine, a Probabilistic Model = 95
 The Hamming Network = 98
 Brain-State-in-a-Box(BSB) = 101
 The Neocognitron = 103
 Restricted Coulomb Energy = 107
 Dystal, a Biological Model = 114
 Drive Reinforcement Model = 117
11 Fuzzy Theroy = 119
 Functions of Fuzzy Vectors = 120
 Fuzziness versus Aristotle = 122
 A Fuzzy Neural Underwater Sound Detector = 125
 A Fuzzy Truck Driver = 130
12 Integrated Circuits = 135
 Building Block and Thin-Film Approaches = 136
 Adaptive Synapses Based on MNOS and CCD Technologies = 137
 An All-Digital Neural Network = 140
 A Silicon Retina = 145
13 Optical Neural Nets = 148
 Optical Techniques = 149
 Holograms = 150
14 The Evolution of Intelligence = 155
 Genetics = 155
 Modular Neural Evolution = 158
 Natural Selection = 159
 Simulated Imagination = 162
Appendix: Mathematical Notation = 167
References and Bibligraphy = 171
Index = 180