一种用于模糊概念获取的自组织网络

Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium Pub Date : 1996-12-11 DOI:10.1109/AFSS.1996.583563

I. Takeuchi, T. Furuhashi, Y. Hamada, Y. Uchikawa

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摘要

本文提出了一种用于模糊概念获取的自组织网络。该网络可以自主选择和生成属性模糊模式的层。概念可以通过每个属性的模糊模式之间的关联来描述。仿真结果表明了该网络的有效性。

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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A proposal of self-organizing network for aquisition of vague concept

The paper presents a self organizing network for acquisition of vague concepts. This network can autonomously select and generate layers for vague patterns for the attributes. Concepts can be described by the association among vague patterns for each attribute. Simulations are done to show the effectiveness of the network.

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Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium

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