Introduction to Pattern Recognition: Statistical, Structural, Neural and Fuzzy Logic Approaches (Hardcover) (ISBN-13: 9789810233129)

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.

Author: Menahem Friedman,Abraham Kandel
ISBN-10: 9810233124
ISBN-13: 9789810233129
Publisher: World Scientific Publishing Company
Language: English
Published: 03/02/1999
Pages: 344
Format: Hardcover
Weight: 1.72lbs
Size: 10.08h x 6.94w x 1.08d