Title :
Input Selection for TSK Fuzzy Model based on Modified Mountain Clustering
Author :
Banakar, Ahmad ; Azeem, Mohammad Fazle
Author_Institution :
Dept. of Electr. Eng., Aligarh Muslim Univ.
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
Keywords :
fuzzy set theory; identification; pattern clustering; TSK fuzzy identification; input-output data analysis; modified mountain clustering; parameter identification; structure identification; Data analysis; Data handling; Educational institutions; Fuzzy systems; Input variables; Intelligent systems; Organizing; Parameter estimation; Performance analysis; System identification; GMDH; Input Selection; MMC; TSK fuzzy model;
Conference_Titel :
Intelligent Systems, 2006 3rd International IEEE Conference on
Conference_Location :
London
Print_ISBN :
1-4244-01996-8
Electronic_ISBN :
1-4244-01996-8
DOI :
10.1109/IS.2006.348434
