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聚类和人工神经网络作为生成隶属函数的工具

16th International Conference on Electronics, Communications and Computers (CONIELECOMP'06) Pub Date : 2006-02-27 DOI:10.1109/CONIELECOMP.2006.22
A. M. Sánchez, Ricardo Álvarez, J. C. Moctezuma, S. Sánchez
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引用次数: 12

摘要

本文将经典聚类算法c均值与人工神经网络相结合，建立模糊系统的隶属函数，并在MATLAB中进行了仿真。
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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Clustering and Artificial Neural Networks as a Tool to Generate Membership Functions
This work show an application of the classical clustering algorithm, c-mean mixed with Artificial Neural Networks to build membership functions of fuzzy systems, the simulations were done with MATLAB.
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16th International Conference on Electronics, Communications and Computers (CONIELECOMP'06)
16th International Conference on Electronics, Communications and Computers (CONIELECOMP'06)
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