New Initial Fuzzy System Generation Features in the SFMI Toolbox
نویسنده
چکیده
The sparse fuzzy model identification (SFMI) toolbox is a Matlab based software that was developed to facilitate the creation of fuzzy systems with a compact and low complexity rule base. The objective of this paper to report some extensions and new features of the toolbox that aim the widening of the pool of the applicable approaches and methods in the process of automatic rule base creation from sample data.
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تاریخ انتشار 2013