Introduction to Pattern Recognition: Statistical, Structural, Neural and Fuzzy Logic Approaches

Introduction to Pattern Recognition: Statistical, Structural, Neural and Fuzzy Logic Approaches

by Menahem Friedman, Abraham Kandel
     
 

ISBN-10: 9810233124

ISBN-13: 9789810233129

Pub. Date: 03/28/1998

Publisher: World Scientific Publishing Company, Incorporated

This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology. Most of the topics are accompanied by detailed algorithms and real world applications. In addition to statistical and structural approaches, novel topics such as fuzzy pattern recognition and pattern

Overview

This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology. Most of the topics are accompanied by detailed algorithms and real world applications. In addition to statistical and structural approaches, novel topics such as fuzzy pattern recognition and pattern recognition via neural networks are also reviewed. Each topic is followed by several examples solved in detail. The only prerequisites for using this book are a one-semester course in discrete mathematics and a knowledge of the basic preliminaries of calculus, linear algebra and probability theory.

Product Details

ISBN-13:
9789810233129
Publisher:
World Scientific Publishing Company, Incorporated
Publication date:
03/28/1998
Series:
Machine Perception and Artificial Intelligence Series
Edition description:
New Edition
Pages:
329
Product dimensions:
6.50(w) x 9.70(h) x 1.00(d)

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