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 form
1) 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)
看不懂,据高手说,非常有用。
标签:
identification
neuro-fuzzy
implemented
analysis
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2014-01-12
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