C++ Neural Networks and Fuzzy Logic: Preface

Counterpropagation

This is a neural network model developed by Robert Hecht−Nielsen, that has one or two additional layers

between the input and output layers. If it is one, the middle layer is a Grossberg layer with a bunch of outstars.

In the other case, a Kohonen layer, or a self−organizing layer, follows the input layer, and in turn is followed

by a Grossberg layer of outstars. The model has the distinction of considerably reducing training time. With

this model, you gain a tool that works like a look−up table.

Previous Table of Contents Next

Copyright ©

 IDG Books Worldwide, Inc.

C++ Neural Networks and Fuzzy Logic:Preface

Temporal Associative Memory

98

---