Neural Information Processing. Theory and Algorithms

Neural Information Processing. Theory and Algorithms

  • Kevin K.W. Wong
  • B. Sumudu U. Mendis
  • Abdesselam Bouzerdoum
Publisher:SpringerISBN 13: 9783642175374ISBN 10: 3642175376

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Neural Information Processing. Theory and Algorithms is written by Kevin K.W. Wong and published by Springer. It's available with International Standard Book Number or ISBN identification 3642175376 (ISBN 10) and 9783642175374 (ISBN 13).

The two volume set LNCS 6443 and LNCS 6444 constitutes the proceedings of the 17th International Conference on Neural Information Processing, ICONIP 2010, held in Sydney, Australia, in November 2010. The 146 regular session papers presented were carefully reviewed and selected from 470 submissions. The papers of part I are organized in topical sections on neurodynamics, computational neuroscience and cognitive science, data and text processing, adaptive algorithms, bio-inspired algorithms, and hierarchical methods. The second volume is structured in topical sections on brain computer interface, kernel methods, computational advance in bioinformatics, self-organizing maps and their applications, machine learning applications to image analysis, and applications.