Introduction To The Theory Of Neural Computation

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