Input Selection for TSK Fuzzy Model based on Modified Mountain Clustering
Ahmad Banakar, Mohammad Fazle Azeem · 2006 3rd International IEEE Conference Intelligent Systems · 2006
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