Advances in Neural Networks - ISNN 2005: Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I
Author:   Jun Wang ,  Xiaofeng Liao ,  Zhang Yi
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2005 ed.
Volume:   3496
ISBN:  

9783540259121


Pages:   1055
Publication Date:   17 May 2005
Format:   Paperback
Availability:   Out of stock   Availability explained
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Advances in Neural Networks - ISNN 2005: Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I


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Overview

The three volume set LNCS 3496/3497/3498 constitutes the refereed proceedings of the Second International Symposium on Neural Networks, ISNN 2005, held in Chongqing, China in May/June 2005. The 483 revised papers presented were carefully reviewed and selected from 1.425 submissions. The papers are organized in topical sections on theoretical analysis, model design, learning methods, optimization methods, kernel methods, component analysis, pattern analysis, systems modeling, signal processing, image processing, financial analysis, control systems, robotic systems, telecommunication networks, incidence detection, fault diagnosis, power systems, biomedical applications, industrial applications, and other applications.

Full Product Details

Author:   Jun Wang ,  Xiaofeng Liao ,  Zhang Yi
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2005 ed.
Volume:   3496
Dimensions:   Width: 15.50cm , Height: 5.50cm , Length: 23.50cm
Weight:   1.641kg
ISBN:  

9783540259121


ISBN 10:   3540259120
Pages:   1055
Publication Date:   17 May 2005
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Theoretical Analysis.- Model Design.- Learning Methods.- Optimization Methods.- Kernel Methods.- Component Analysis.

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