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，據(jù)高手說(shuō)，非常有用。
標(biāo)簽：
identification
neuro-fuzzy
implemented
analysis
上傳時(shí)間：
2014-01-12
上傳用戶：zgu489
