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Introduction To The Theory Of Neural Computation John A. Hertz

Introduction To The Theory Of Neural Computation By John A. Hertz

Introduction To The Theory Of Neural Computation by John A. Hertz


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Summary

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.

Introduction To The Theory Of Neural Computation Summary

Introduction To The Theory Of Neural Computation by John A. Hertz

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.

About John A. Hertz

John A Hertz

Table of Contents

About the Santa Fe Institute , Santa Fe Institute Editorial Board September 1990 , Santa Fe Institute Studies in the Sciences of Complexity , Series Foreword , Foreword , Foreword , Preface , Introduction , The Hopfield Model , Extensions of the Hopfield Model , Optimization Problems , Simple Perceptrons , Multi-Layer Networks , Recurrent Networks , Unsupervised Hebbian Learning , Unsupervised Competitive Learning , Formal Statistical Mechanics of Neural Networks , Statistical Mechanics

Additional information

NPB9780367091361
9780367091361
0367091364
Introduction To The Theory Of Neural Computation by John A. Hertz
New
Hardback
Taylor & Francis Ltd
2019-06-13
352
N/A
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