基于改进山地聚类的TSK模糊模型输入选择

2006 3rd International IEEE Conference Intelligent Systems Pub Date : 2006-09-01 DOI:10.1109/IS.2006.348434

A. Banakar, M. Azeem

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引用次数: 5

摘要

系统辨识在投入产出数据分析中起着重要的作用，因此更好的模型可以得到更好的结果。系统辨识包括结构辨识和参数辨识两部分。在结构识别中，找出输入变量和输入输出关系。本文试图为基于改进山地聚类的TSK模糊识别模型寻找最佳候选输入

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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Input Selection for TSK Fuzzy Model based on Modified Mountain Clustering

System identification plays a principal role in input-output data analysis, such that a better result can be obtained from better model. System identification includes two parts: structure identification and parameter identification. In structure identification, input variables and input-output relations are found. This paper tries to find best input candidate for a TSK fuzzy identification model based on modified mountain clustering

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2006 3rd International IEEE Conference Intelligent Systems

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