Simultaneous Perturbation and Its Application for biomimetic systems

Yutaka MAEDA

doi:10.14864/softscis.2006.0.504.0

SCIS & ISIS 2006

セッションID: TH-B4-1

DOI https://doi.org/10.14864/softscis.2006.0.504.0

会議情報

主催: Japan SOciety for Fuzzy Theory and intelligent informatics

共催: The Korea Fuzzy Logic and Intelligent Systems Society, IEEE Computational Intelligence Society, The International Fuzzy Systems Association, 21th Century COE Program "Creation of Agent-Based Social Systems Sciences"

TH-B4 Biomimetic Machines and Robots (3)

Simultaneous Perturbation and Its Application for biomimetic systems

*Yutaka MAEDA

著者情報

キーワード: simultaneous perturbation, learning systems, biomimetic systems

会議録・要旨集フリー

詳細

抄録

In this paper, we describe advantages of the simultaneous perturbation optimization method for some biomimetic systems. Especially, learning mechanisms for neural networks, neural systems and blind source separation are good examples. We explain about the applications of the simultaneous perturbation for these systems.

責任著者(Corresponding author)

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