Advances in Neural Networks - ISNN 2012 [electronic resource] : 9th International Symposium on Neural Networks, ISNN 2012, Shenyang, China, July 11-14, 2012. Proceedings, Part I / edited by Jun Wang, Gary G. Yen, Marios M. Polycarpou.
Contributor(s): Wang, Jun [editor.]
| Yen, Gary G [editor.] | Polycarpou, Marios M [editor.] | SpringerLink (Online service).
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BookSeries: Theoretical Computer Science and General Issues: 7367Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Edition: 1st ed. 2012.Description: XXVI, 683 p. 210 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642313462.Subject(s): Computer science | Artificial intelligence | Pattern recognition systems | Computer vision | Machine theory | Algorithms | Theory of Computation | Artificial Intelligence | Automated Pattern Recognition | Computer Vision | Formal Languages and Automata Theory | AlgorithmsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 004.0151 Online resources: Click here to access online
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Springer Nature eBookSummary: 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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