Advances in Neural Networks - ISNN 2005 [electronic resource] : Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I /

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Material type: Text

TextSeries: Theoretical Computer Science and General Issues ; 3496Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005Edition: 1st ed. 2005Description: XLIX, 1055 p. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783540320654

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

004.0151 23

LOC classification:

QA75.5-76.95

Online resources:

Click here to access online

Contents:

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

In: Springer Nature eBookSummary: 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.

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

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.

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