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.

Por: Wang, Jun [editor.]Colaborador(es): Yen, Gary G [editor.] | Polycarpou, Marios M [editor.]Tipo de material: TextoTextoSeries Lecture Notes in Computer Science, 7367Editor: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Descripción: XXVI, 683 p. 210 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642313462Trabajos contenidos: SpringerLink (Online service)Tema(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 ComplexityFormatos físicos adicionales: Sin títuloClasificación CDD: 004.0151 Clasificación LoC:QA75.5-76.95Recursos en línea: de clik aquí para ver el libro electrónico Springer eBooksResumen: 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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