Input Selection for TSK Fuzzy Model based on Modified Mountain Clustering

Abstract
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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