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Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I 2006 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 1444 pages, kõrgus x laius: 235x155 mm, kaal: 2392 g, CXXXIV, 1444 p. In 2 volumes, not available separately., 2 paperbacks
  • Sari: Theoretical Computer Science and General Issues 3971
  • Ilmumisaeg: 17-May-2006
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 354034439X
  • ISBN-13: 9783540344391
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  • Formaat: Paperback / softback, 1444 pages, kõrgus x laius: 235x155 mm, kaal: 2392 g, CXXXIV, 1444 p. In 2 volumes, not available separately., 2 paperbacks
  • Sari: Theoretical Computer Science and General Issues 3971
  • Ilmumisaeg: 17-May-2006
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 354034439X
  • ISBN-13: 9783540344391
Teised raamatud teemal:
The three volume set LNCS 3971/3972/3973 constitutes the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006, held in Chengdu, China in May/June 2006.The 616 revised papers presented were carefully reviewed and selected from about 2.500 submissions. The papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, ICA and BSS, data preprocessing, pattern classification, computer vision, image processing, signal processing, system modeling, control systems, robotic systems, power systems, transportation systems, communication networks, information security, fault detection, financial analysis, neuroinformatics, bioinformatics, biomedical applications, industrial applications, other applications, and hardware implementation.

This is Volume I of a three volume set constituting the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006. 616 revised papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, data preprocessing, pattern classification, computer vision, image and signal processing, system modeling, robotic systems, transportation systems, communication networks, information security, fault detection, financial analysis, bioinformatics, biomedical and industrial applications, and more.

Arvustused

From the reviews:









"It addresses the domain of artificial Intelligence (AI) and presents state-of-the-art research, development, and education in the field. a useful resource for scientists and educators interested in the field of NN systems . gives the reader a sense of the applications and challenges of the filed, and provides an extensive bibliography for further investigation. The collection offers a broad perspective on a topic that is widely discussed and underlines many of its applications. This makes it highly recommendable to the AI community." (M. Caramihai, Computing Reviews, December, 2006)