Title :
An analysis on associative dynamics of chaotic neural networks by global and local Lyapunov exponents
Author :
Ikeguchi, Tohru ; Hasegawa, Mikio ; Aihara, Kazuyuki
Author_Institution :
Dept. of Appl. Electron., Sci. Univ. of Tokyo, Japan
Abstract :
We analyze the associative dynamics in a chaotic neural network by examining its retrieval properties and evaluating its search performance. In order to discuss the relationship between the retrieval properties and the search dynamics of chaotic neural networks, we estimate both global and local Lyapunov exponents
Keywords :
Lyapunov methods; associative processing; chaos; estimation theory; information retrieval; neural nets; performance evaluation; associative dynamics; chaotic neural networks; global Lyapunov exponents; local Lyapunov exponents; retrieval properties; search performance; Biological system modeling; Chaos; Information analysis; Information retrieval; Neural networks; Neurons; Orbital calculations; Pattern analysis; Performance analysis; Physics;
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
DOI :
10.1109/ICONIP.1999.844675
