DocumentCode
395157
Title
Chaotic wandering and its sensitivity to external input in a chaotic neural network
Author
Kuroiwa, J. ; Masutani, N. ; Nara, S. ; Aihara, K.
Author_Institution
Dept. of Human & Artificial Intelligent Syst., Fukui Univ., Japan
Volume
1
fYear
2002
fDate
18-22 Nov. 2002
Firstpage
353
Abstract
Dynamical properties of chaotic neural network in chaotic wandering state are studied concerning sensitivity to external inputs. The number of the attractor basins which time dependent vector can visit during chaotic wandering depends on the dynamical complexity of chaos. When one applies the external input consisting of a memory fragment to the network, within several iteration steps the orbit reach the basin of the memory attractor.
Keywords
chaos; dynamics; iterative methods; neural nets; sensitivity analysis; attractor basins; chaotic neural network; chaotic wandering state; dynamical properties; external inputs sensitivity; iterative method; pseudo-inverse method; time dependent vector; Artificial neural networks; Biological neural networks; Cellular neural networks; Chaos; Educational technology; Humans; Intelligent networks; Neural networks; Neurons; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN
981-04-7524-1
Type
conf
DOI
10.1109/ICONIP.2002.1202192
Filename
1202192
Link To Document