Title :
Associative dynamics in chaotic neural networks
Author :
Ikeguchi, T. ; Aihara, K.
Author_Institution :
Dept. of Appl. Electron., Sci. Univ. of Tokyo, Chiba, Japan
Abstract :
The authors apply a model of a chaotic neural network composed of neuron models with chaotic dynamics to associative memory, the stored patterns of which are mutually orthogonal, and analyze its dynamical behavior quantitatively. In order to clarify the chaotic dynamics, they calculate the Lyapunov spectrum, the temporal changes of the distance between the output pattern of the chaotic neural network and the stored patterns, and the local divergence rate. It is demonstrated that dynamical associative memory can be realized with the chaotic neural network
Keywords :
Lyapunov methods; chaos; content-addressable storage; neural nets; Lyapunov spectrum; associative memory; chaotic dynamics; chaotic neural networks; local divergence rate; neuron models; Biological neural networks; Biological system modeling; Biomembranes; Chaos; Equations; Industrial electronics; Intelligent networks; Nerve fibers; Neural networks; Neurons;
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
DOI :
10.1109/IJCNN.1991.170728