Clustering and Artificial Neural Networks as a Tool to Generate Membership Functions

机译：聚类和人工神经网络作为生成隶属函数的工具

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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.

机译：这项工作显示了经典聚类算法的应用，C字样与人工神经网络混合，以构建模糊系统的隶属函数，模拟是用MATLAB完成的。

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《International Conference on Electronics, Communications and Computers》|2006年||共4页
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A. Sanchez; R. Alvarez; J. C. Moctezuma; S. Sanchez;
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中图分类 TN-53;
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Fuzzy System; Artificial Neural Networks; Classical clustering algorithm; c means; MATLAB;

机译：模糊系统;人工神经网络;古典聚类算法;C手段;MATLAB;

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Clustering and Artificial Neural Networks as a Tool to Generate Membership Functions

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