Prog. Theor. Phys. Vol. 88 No. 4 (1992) pp. 769-773

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Letters

Solving an Optimization Problem with a Chaos Neural Network

Masayoshi Inoue and Akihiro Nagayoshi

Department of Physics, Kagoshima University, Kagoshima 890

(Received March 19, 1992)

Abstract:

We present an analog version of a chaos neural network which has been introduced by the present authors (Phys. Lett. A158 (1991), 373). An ability of parallel synchronous computation is illustrated for solving a difficult optimization problem.

URL : http://ptp.ipap.jp/link?PTP/88/769/
DOI : 10.1143/PTP.88.769

References:

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Citing Article(s) :

Progress of Theoretical Physics Vol. 92 No. 3 (1994) pp. 501-508 :
Dynamics of Cognitive Interpretations of a Necker Cube in a Chaos Neural Network

Masayoshi Inoue and Kenji Nakamoto
Progress of Theoretical Physics Vol. 92 No. 5 (1994) pp. 927-938 :
Self-Organization and Entropy Decreasing in Neural Networks

Masayoshi Inoue and Masayuki Kashima
Progress of Theoretical Physics Vol. 93 No. 5 (1995) pp. 845-856 :
Back Propagation Learning Using a Super Stable Motion

Masayoshi Inoue, Akira Tanaka and Kenji Nakamoto
Progress of Theoretical Physics Vol. 94 No. 4 (1995) pp. 515-534 :
Nearly Synchronized State and a Constant of Motion in a Coupled Chaotic Map

Masayoshi Inoue and Yutaka Nishi
Progress of Theoretical Physics Vol. 95 No. 4 (1996) pp. 817-822 :
Self-Annealing Dynamics in a Multistable System

Tsuyoshi Hondou