Prediction with Fuzzy Neural Network and Anfis
2 次查看(过去 30 天)
显示 更早的评论
Hi everyone, I'am pretty new with Matlab and I'm trying to predict with a fuzzy neural net. Following some tutorials (finding on the web) I write this code:
M % complete matrix with a lot of row (>150000) and 39 column (the last one is the output of the nn, it could be 2 or 3)
TRAIN % 70% of M
CHECK % 15% of M
TEST % 15% of M
[Train_r Train_c] = size(TRAIN);
inp = TRAIN(:,1:(Train_c-1));
out = TRAIN(:,Train_c);
in_fis2 = genfis2(inp,out,0.5);
in_fis3 = genfis3(inp,out,'sugeno',3);
epoch_n = 20;
dispOpt = zeros(1,4);
out_fis2 = anfis(TRAIN,in_fis2,20,dispOpt);
out_fis3 = anfis(TRAIN,in_fis3,20,dispOpt);
Now I would like to predict these trainings on TEST and CHECK (like a classic ANN). After that, i would like to plot Confusion Matrix and Roc Curve. Do you have any suggestions?
Thanks
0 个评论
回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Fuzzy Logic Toolbox 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!