C++ Neural Networks and Fuzzy Logic: Preface

C++ Neural Networks and Fuzzy Logic

by Valluru B. Rao

MTBooks, IDG Books Worldwide, Inc.

ISBN: 1558515526   Pub Date: 06/01/95

Previous Table of Contents Next

Chapter 6

Learning and Training

In the last chapter, we presented an overview of different neural network models. In this chapter, we continue

the broad discussion of neural networks with two important topics: Learning and Training. Here are key

questions that we would like to answer:

•  How do neural networks learn?

•  What does it mean for a network to learn ?

•  What differences are there between supervised and unsupervised learning ?

•  What training regimens are in common use for neural networks?

Objective of Learning

There are many varieties of neural networks. In the final analysis, as we have discussed briefly in Chapter 4

on network modeling, all neural networks do one or more of the following :