Description: The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2. The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-( multi) input samples.The returned model has the form1) if input1 is A11 and input 2 is A12 then output = f1 (input1, input2) 2) if input1 is A21 and input 2 is A22 then output = f2 (input1, input2) can not read, according to experts said that very useful.
- [neuro-fuzzyandsoftcomputing.Rar] - neuro-fuzzy and soft computing this book
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- [IEEEXplore_3_fuzzy] - A Hybrid Neuro-Fuzzy Filter for Edge Pre
- [DFNN] - This is a neuro-fuzzy network in the D-F
- [sugenotune] - Sugeno-type FIS output tuning
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