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 I Theoretical Computer Science and General Issues Series
Coordonnateurs : Cong Fengyu, Leung Andrew, Wei Qinglai
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.
Includes supplementary material: sn.pub/extras
Date de parution : 05-2017
Ouvrage de 583 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 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); algorithm analysis and problem complexity