Switched-Capacitor Large-Scale Chaotic Neuro-Computer Prototype and Chaotic Search Dynamics

Yoshihiko Horio; Takahide Okuno; Koji Mori

Switched-Capacitor Large-Scale Chaotic Neuro-Computer Prototype and Chaotic Search Dynamics

Yoshihiko Horio, Takahide Okuno, Koji Mori

Research output: Contribution to journal › Article › peer-review

Abstract

We construct a mixed analog/digital switched-capacitor (SC) chaotic neuro-computer prototype with 400 neurons and 160000 synapses. We observe a chaotic search dynamics arises from chaotic itinerancy from the prototype system. Especially, we first implement a dynamical associative memory on the system. Then, we apply the chaotic search dynamics to solve the quadratic assignment problem, which is one of the NP-hard combinatorial optimization problems. The chaotic search dynamics depends heavily on the complexity in real number. The analog SC chaotic neurons used in this study can handle real numbers through their continuous variables, and therefore they would faithfully and naturally reproduce the chaotic search behavior.

Original language	English
Pages (from-to)	988-994
Number of pages	7
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3213
Publication status	Published - 2004 Dec 1
Externally published	Yes

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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Switched-Capacitor Large-Scale Chaotic Neuro-Computer Prototype and Chaotic Search Dynamics. / Horio, Yoshihiko; Okuno, Takahide; Mori, Koji.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3213, 01.12.2004, p. 988-994.

Research output: Contribution to journal › Article › peer-review

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