Associative memory with spatiotemporal chaos control

Masanori Kushibe, Yun Liu, and Junji Ohtsubo
Phys. Rev. E 53, 4502 – Published 1 May 1996
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Abstract

Control of spatiotemporal chaos in a neural network with discrete time and continuous state variables is investigated. The chaos control is performed with the knowledge of only a part of the target information in the memory patterns. The success rate for the pattern associations and the dependence of the search time on the sampling number in the proposed chaos neural network are studied. By the introduction of the reinforcement factor in the learning process, the recognition rate of the network can be much enhanced. Random and regular samplings of the pattern for the control are tested and the successful results of the associations are demonstrated. The chaotic behavior and recalling ability of the system are evaluated based on the analysis of the Lyapunov spectrum of the network.

  • Received 18 December 1995

DOI:https://doi.org/10.1103/PhysRevE.53.4502

©1996 American Physical Society

Authors & Affiliations

Masanori Kushibe, Yun Liu*, and Junji Ohtsubo

  • Faculty of Engineering, Shizuoka University, 3-5-1 Johoku, Hamamatsu, 432 Japan

  • *Also at Graduate School of Electronic Science and Technology, Shizuoka University, 3-5-1 Johoku, Hamamatsu, 432 Japan. FAX: +81-53-478-1251. Electronic address: ohtsubo@eng.shizuoka.ac.jp

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Issue

Vol. 53, Iss. 5 — May 1996

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