Neural Networks

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Herve Abdi
Dominique Valentin - Universite De Bourgogne
Betty Edelman - University of Texas at Dallas, USA

Volume: 124

Series:
Quantitative Applications in the Social Sciences

Other Titles in:
Quantitative/Statistical Research (General)

March 1999 | 96 pages | SAGE Publications, Inc

Description
Contents

Neural networks, adaptive statistical models based on an analogy with the structure of the brain, can be used to estimate the parameters of some population using one (or a few) exemplars at a time. This book introduces readers to the basic models of neural networks and compares and contrasts these models using other statistical models. Through the use of examples that can be computed by hand or with a simple calculator, the authors describe and explain the various models.

Introduction

The Perceptron

Linear Autoassociative Memories

Linear Heteroassociative Memories

Error Backpropagation

Useful References

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