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.

containe.m
data.mat
data2.mat
data_example.mat
ehist.txt
errors.mat
err_fuz.m
example.m
fuz.m
fuzzy_b.m
fuzzy_g.m
fuz_aux.m
fuz_id.m
fuz_mod.m
HFC.m
inputs.mat
inv_co.m
inv_li.m
k_mean.m
leve_mao.m
memo.txt
mhist.txt
model.mat
normaliz.m
out_hat.mat
read_me.doc
sumsqr.m
test_example.mat
x_valid.m

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．