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Advances in Neural Networks ISNN 2004 : International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I.

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 3173,Publication details: Berlin ; Heidelberg : Springer-Verlag Berlin Heidelberg, 2004.Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540286479
  • 3540286470
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 004.0151 23
LOC classification:
  • QA75.5-76.95
Online resources:
Contents:
Theoretical Analysis -- Learning and Optimization -- Support Vector Machines -- Blind Source Separation, Independent Component Analysis and Principal Component Analysis -- Clustering and Classification.
Summary: The two volume set LNCS 3173/3174 constitutes the refereed proceedings of the International Symposium on Neural Networks, ISNN 2004, held in Dalian, China in August 2004. The 329 papers presented were carefully reviewed and selected from more than 800 submissions. The papers span the entire scope of neural computing and its applications; they are organized in 11 major topical parts on theoretical analysis; learning and optimization; support vector machines; blind source separation, independent component analysis, and principal component analysis; clustering and classification; robotics and control; telecommunications; signal image, and time series analysis; biomedical applications; detection, diagnosis, and computer security; and other applications.
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The two volume set LNCS 3173/3174 constitutes the refereed proceedings of the International Symposium on Neural Networks, ISNN 2004, held in Dalian, China in August 2004. The 329 papers presented were carefully reviewed and selected from more than 800 submissions. The papers span the entire scope of neural computing and its applications; they are organized in 11 major topical parts on theoretical analysis; learning and optimization; support vector machines; blind source separation, independent component analysis, and principal component analysis; clustering and classification; robotics and control; telecommunications; signal image, and time series analysis; biomedical applications; detection, diagnosis, and computer security; and other applications.

Theoretical Analysis -- Learning and Optimization -- Support Vector Machines -- Blind Source Separation, Independent Component Analysis and Principal Component Analysis -- Clustering and Classification.

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