适度主义:神经网络自组织的新概念

1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111) Pub Date : 1998-04-21 DOI:10.1109/KES.1998.725979

Y. Okabe, T. Kouhara, H. Hayashi, Atsushi Narusawa, M. Kitagawa, M. Miyao

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引用次数: 1

摘要

提出了一种自组织机制“适度主义”(moderatism)，通过这种机制，即使神经网络内部和/或外部存在反馈回路，神经网络的输入输出关系也会自动形成，以适应环境。应用这一组织机制，表明网络获得了对危险刺激的回避反射。在没有外部信号的情况下，神经网络也会开始自我振荡以获得一定数量的刺激。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Moderatism: new concept for self-organization of neural networks

A self-organization mechanism, "moderatism" is proposed, by which the input-to-output relationship of neural networks is automatically formed so as to adapt to the environment, even if there are feedback loops inside and/or outside. By applying this organization mechanism, it is shown that the networks acquire the reflex to avoid the dangerous stimulus. Also the networks start self-oscillation by themselves to get some amount of stimulus when there is no external signal.

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来源期刊

1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)

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