一种自适应模糊逻辑:模糊平方

SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers Pub Date : 1995-07-26 DOI:10.1109/SICE.1995.526701

D. Molinari, Zei Shuk Park, M. Otha

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引用次数: 3

摘要

本文介绍了一种“连续逻辑”，它是由模糊与或逻辑的加权和构成的，称为模糊平方。为了提供对它的适应性，必须选择一个参数。考虑了网络模型和改进的遗传算法来满足模糊平方逻辑的需要。仿真结果表明，该逻辑既能学习简单逻辑的行为，也能学习非线性控制系统的行为。

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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An adaptive fuzzy logic: fuzzy squared

This paper introduces a "continuous logic" constructed as a weighted sum of fuzzy AND and OR logics, called fuzzy squared. In order to provide adaptability to it, a parameter must be selected. A network model and a modified genetic algorithm are considered to meet the fuzzy squared logic needs. Simulations demonstrate that this logic can learn the behavior of a simple logic as well as of nonlinear control systems.

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SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers

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