Advances in Neural Networks - ISNN 2017, 1st ed. 2017 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part II Theoretical Computer Science and General Issues Series
Langue : Anglais
Coordonnateurs : Cong Fengyu, Leung Andrew, Wei Qinglai
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.
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.
Clustering, Classification, Modeling, and Forecasting.- Cognition Computation and Neural Networks.- Intelligent Control.- Signal, Image and Video Processing.- Bio-Signal and Medical Image Analysis.
Includes supplementary material: sn.pub/extras
Date de parution : 05-2017
Ouvrage de 595 p.
15.5x23.5 cm
Thèmes d’Advances in Neural Networks - ISNN 2017 :
Mots-clés :
adaptive control systems; algorithms; artificial intelligence; classification; clustering; deep learning; image processing; intelligent control; linear control systems; linear matrix inequalities; Lyapunov functions; machine learning; matrix algebra; neural networks; nonlinear control systems; pattern recognition; recurrent neural networks; robots; signal processing; Support Vector Machines (SVM)
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