Introduction - If you have any usage issues, please Google them yourself
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.
Packet : 45665988fuzzy.zip filelist
HFC.m
containe.m
data.mat
data2.mat
data_example.mat
ehist.txt
err_fuz.m
errors.mat
example.m
fuz.m
fuz_aux.m
fuz_id.m
fuz_mod.m
fuzzy_b.m
fuzzy_g.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