* Describes how to use the classes provided to implement a variety of neural network architectures including ADALINE, Backpropagation, Self-Organizing, and BAM
* Provides a set of reusable neural network classes, created in C++, capable of implementing any neural network architecture
* Includes an IBM disk of the source code for the classes, which is platform independent
* Includes an IBM disk with C++ programs described in the book
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"This book is distinctive in that it implements nodes and links as base objects and then composes them into four different kinds of neural networks. Rogers writing is clear....The text and code are both quite readable. Overall, this book will be useful to anyone who wants to implement neural networks in C++ (and, to a lesser extent, in other object-oriented programming languages.)...I recommend this book to anyone who wants to implement neural networks in C++."
--D.L. Chester, Newark, Delaware in COMPUTING REVIEWS
By Richard G. Rogers
Introduction. Object-Oriented Programming Review. Neural-Network Base Classes. ADALINE Network. Backpropagation Neural Network. Self-Organizing Neural Network. Bidirectional Associative Memory. Appendixes. Subject Index.