ly state the known theoretical results, the known tendencies of the approach, and their recommendations for getting the best results from the method.

The material covered in the book is accessible to working engineers with little or no explicit background in neural networks. However, the material is presented in sufficient depth so that those with prior knowledge will find this book beneficial. Pattern Recognition with Neural Networks in C++ is also suitable for courses in neural networks at an advanced undergraduate or graduate level. This book is valuable for academic as well as practical research.

Features

Provides complete code that will assist experimental design

Unlike other books, this one covers neural network methodologies and details the pattern recognition problem

Allows readers to make a wiser design choice with a predictable and effective neural application

Written in a style accessible to both novices and experienced practitioners

Includes a 3.5″, IBM compatible, diskette containing the programs in the book

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