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Advances in Neural Networks – ISNN 2005 [electronic resource] : Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I / edited by Jun Wang, Xiaofeng Liao, Zhang Yi.

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 3496Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005Description: XLIX, 1055 p. Also available online. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540320654
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 004.0151 23
LOC classification:
  • QA75.5-76.95
Online resources:
Contents:
Theoretical Analysis -- Model Design -- Learning Methods -- Optimization Methods -- Kernel Methods -- Component Analysis.
In: Springer eBooksSummary: 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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