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Advances in Neural Networks – ISNN 2012 [electronic resource] : 9th International Symposium on Neural Networks, Shenyang, China, July 11-14, 2012. Proceedings, Part I / edited by Jun Wang, Gary G. Yen, Marios M. Polycarpou.

By: Wang, Jun [editor.].
Contributor(s): Yen, Gary G [editor.] | Polycarpou, Marios M [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 7367Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Description: XXVI, 683 p. 210 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642313462.Subject(s): Computer science | Computer software | Artificial intelligence | Computer vision | Optical pattern recognition | Computer Science | Computation by Abstract Devices | Artificial Intelligence (incl. Robotics) | Pattern Recognition | Image Processing and Computer Vision | Mathematical Logic and Formal Languages | Algorithm Analysis and Problem ComplexityDDC classification: 004.0151 Online resources: Click here to access online In: Springer eBooksSummary: The two-volume set LNCS 7367 and 7368 constitutes the refereed proceedings of the 9th International Symposium on Neural Networks, ISNN 2012, held in Shenyang, China, in July 2012. The 147 revised full papers presented were carefully reviewed and selected from numerous submissions. The contributions are structured in topical sections on mathematical modeling; neurodynamics; cognitive neuroscience; learning algorithms; optimization; pattern recognition; vision; image processing; information processing; neurocontrol; and novel applications.
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The two-volume set LNCS 7367 and 7368 constitutes the refereed proceedings of the 9th International Symposium on Neural Networks, ISNN 2012, held in Shenyang, China, in July 2012. The 147 revised full papers presented were carefully reviewed and selected from numerous submissions. The contributions are structured in topical sections on mathematical modeling; neurodynamics; cognitive neuroscience; learning algorithms; optimization; pattern recognition; vision; image processing; information processing; neurocontrol; and novel applications.

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