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Advances in Neural Networks - ISNN 2017 [[electronic resource] ] : 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part I / / edited by Fengyu Cong, Andrew Leung, Qinglai Wei



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Titolo: Advances in Neural Networks - ISNN 2017 [[electronic resource] ] : 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part I / / edited by Fengyu Cong, Andrew Leung, Qinglai Wei Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Edizione: 1st ed. 2017.
Descrizione fisica: 1 online resource (XXII, 583 p. 238 illus.)
Disciplina: 006.32
Soggetto topico: Pattern recognition systems
Artificial intelligence
Computer science—Mathematics
Neural networks (Computer science)
Algorithms
Data protection
Automated Pattern Recognition
Artificial Intelligence
Mathematics of Computing
Mathematical Models of Cognitive Processes and Neural Networks
Data and Information Security
Persona (resp. second.): CongFengyu
LeungAndrew
WeiQinglai
Nota di contenuto: Clustering, Classification, Modeling, and Forecasting -- Cognition Computation and Neural Networks -- Intelligent Control -- Signal, Image and Video Processing -- Bio-Signal and Medical Image Analysis.
Sommario/riassunto: This book constitutes the refereed proceedings of the 14th International Symposium on Neural Networks, ISNN 2017, held in Sapporo, Hakodate, and Muroran, Hokkaido, Japan, in June 2017. The 135 revised full papers presented in this two-volume set were carefully reviewed and selected from 259 submissions. The papers cover topics like perception, emotion and development, action and motor control, attractor and associative memory, neurodynamics, complex systems, and chaos.
Titolo autorizzato: Advances in Neural Networks - ISNN 2017  Visualizza cluster
ISBN: 3-319-59072-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484759103321
Lo trovi qui: Univ. Federico II
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Serie: Theoretical Computer Science and General Issues, . 2512-2029 ; ; 10261