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。-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.