Introduction To The Theory Of Neural Computation / Edition 1

by John A. Hertz

Overview

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.

Product Details

ISBN-13:	9780367091361
Publisher:	CRC Press
Publication date:	06/13/2019
Series:	Santa Fe Institute Studies in the Sciences of Complexity , #1
Pages:	352
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

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