NEW SOFT COMPUTING TECHNIQUES FOR SYSTEM MODELING, PATTERN CLASSIFICATION AND IMAGE PROCESSING by Leszek Rutkowski ( 9783540205845 )

Item Details

Title:

NEW SOFT COMPUTING TECHNIQUES FOR SYSTEM MODELING, PATTERN CLASSIFICATION AND IMAGE PROCESSING

By:

Format:

Hardback

List price:	£169.99
We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10:

3540205845

ISBN 13:

9783540205845

Publisher:

SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG

Pub. date:

3 February, 2004

Edition:

2004 ed.

Series:

Studies in Fuzziness and Soft Computing 143

Pages:

374

Description:

This book presents new soft computing techniques for system modeling, pattern classification and image processing.

Synopsis:

Science has made great progress in the twentieth century, with the establishment of proper disciplines in the fields of physics, computer science, molecular biology, and many others. At the same time, there have also emerged many engineering ideas that are interdisciplinary in nature, beyond the realm of such orthodox disciplines. These in- clude, for example, artificial intelligence, fuzzy logic, artificial neural networks, evolutional computation, data mining, and so on. In or- der to generate new technology that is truly human-friendly in the twenty-first century, integration of various methods beyond specific disciplines is required. Soft computing is a key concept for the creation of such human- friendly technology in our modern information society. Professor Rutkowski is a pioneer in this field, having devoted himself for many years to publishing a large variety of original work. The present vol- ume, based mostly on his own work, is a milestone in the devel- opment of soft computing, integrating various disciplines from the fields of information science and engineering. The book consists of three parts, the first of which is devoted to probabilistic neural net- works. Neural excitation is stochastic, so it is natural to investi- gate the Bayesian properties of connectionist structures developed by Professor Rutkowski. This new approach has proven to be par- ticularly useful for handling regression and classification problems vi Preface in time-varying environments. Throughout this book, major themes are selected from theoretical subjects that are tightly connected with challenging applications.

Illustrations:

XI, 374 p.

Publication:

Germany

Imprint:

Springer-Verlag Berlin and Heidelberg GmbH & Co. K

Returns:

Returnable

Some other items by this author:

ADVANCES IN DATA ANALYSIS WITH COMPUTATIONAL INTELLIGENCE METHODS (HB)

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING (PB)