Principles of neurocomputing for science and engineering
By: Frederic M. Ham, Ivica Kostanic
Contributors: Kostanic, Ivica
Publisher: McGraw Hill
Published: 2001
Place of publication: New York, NY
Language: eng
Number of pages: 642
Subjects: Neural computers; Neural networks (Computer science)
Description: "Principles of Neurocomputing for Science and Engineering is a textbook intended for individuals who want to understand the underlying principles of artificial neural networks for neurocomputing and for those who want to be able to apply various neurocomputing techniques to solve real-world problems in science and engineering.

Neurocomputing can be applied to problems such as pattern recognition, optimization, event classification, control and identification of nonlinear systems, and statistical analysis - just to name a few. This book is intended for a course in neural networks."--BOOK JACKET.
Notes: Includes bibliographical references and index