Advances in Neural Networks- ISNN 2013 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part I /

The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN 2013, held in Dalian, China, in July 2013. The 157 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are orga...

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Détails bibliographiques
Cote:Libro Electrónico
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Guo, Chengan (Éditeur intellectuel), Hou, Zeng-Guang (Éditeur intellectuel), Zeng, Zhigang (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Édition:1st ed. 2013.
Collection:Theoretical Computer Science and General Issues, 7951
Sujets:
Computer science.
Artificial intelligence.
Pattern recognition systems.
Computer vision.
Mathematical models.
Algorithms.
Theory of Computation.
Artificial Intelligence.
Automated Pattern Recognition.
Computer Vision.
Mathematical Modeling and Industrial Mathematics.
Accès en ligne:Texto Completo
Description
Résumé:The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN 2013, held in Dalian, China, in July 2013. The 157 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in following topics: computational neuroscience, cognitive science, neural network models, learning algorithms, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics, bioinformatics and biomedical engineering, brain-like systems and brain-computer interfaces, data mining and knowledge discovery and other applications of neural networks.
Description matérielle:XXVI, 687 p. 268 illus. online resource.
ISBN:9783642390654
ISSN:2512-2029 ;

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