cmac -模糊系统的表述

J. Ozawa, I. Hayashi, N. Wakami
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引用次数: 22

摘要

为了获得用于识别最优控制器的输入输出数据,有必要确定人类操作员可能不一致的行为背后的一致意图。为了获取人类操作者的意图,作者提出了一个小脑模型算法计算机(CMAC)模糊系统来构建表明人类意图的模糊推理规则。描述了模糊推理规则的构造算法。说明了CMAC模糊系统的构成,并以一个运动物体捕捉的计算机仿真为例,说明了CMAC模糊系统的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Formulation of CMAC-fuzzy system
To get the input-output data for the identification of an optimum controller, it is necessary to ascertain the consistent intention underlying the possibly inconsistent actions of the human operator. To acquire the intention of the human operator, the authors propose a cerebellar model arithmetic computer (CMAC) fuzzy system to construct fuzzy inference rules that indicates the human intention. The algorithm to construct the fuzzy inference rules is described. The formulation of the CMAC fuzzy system is explained, and an application of the CMAC fuzzy system is shown by taking an example of a computer simulation of catching a moving object.<>
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