Editors:
Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3497)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): ISNN: International Symposium on Neural Networks
Conference proceedings info: ISNN 2005.
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Table of contents (150 papers)
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Front Matter
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Pattern Analysis
Other Volumes
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Advances in Neural Networks – ISNN 2005
About this book
Keywords
- artificial neural networks
- biomedical applications
- component analysis
- data analysis
- evolutionary computing
- image analysis
- natural computing
- neural computing
- neural control
- neural information processing
- neural learning
- neural networks
- neural op
- algorithm analysis and problem complexity
Editors and Affiliations
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Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
Jun Wang
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The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China
Xiao-Feng Liao
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Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China
Zhang Yi
Bibliographic Information
Book Title: Advances in Neural Networks - ISNN 2005
Book Subtitle: Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part II
Editors: Jun Wang, Xiao-Feng Liao, Zhang Yi
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/b136478
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Softcover ISBN: 978-3-540-25913-8Published: 17 May 2005
eBook ISBN: 978-3-540-32067-8Published: 04 May 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XLIX, 947
Topics: Theory of Computation, Computer Communication Networks, Algorithms, Discrete Mathematics in Computer Science, Artificial Intelligence, Automated Pattern Recognition