MATLAB: I am confused with RBF kernal based ANN classification. when i implemented, all images are missclasified.. T is class label , P is training image feature , P1 is testing image feature…Can any one correct the code please,…​……….​……….​

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%%%%%%%% RBF training %%%%%%%%%%%
Tc=[1 1 1 1  2 2 2 2 2 2 2 2 2 ];
SPREAD=1;
T=ind2vec(Tc);
net=newrbe(P,T,SPREAD);
%%%%% test data %%%%%%%%
P1= FF1;
Y= sim(net,P1);
ANNresult = vec2ind(Y);

Best Answer

P and FF1 are undefined
>> net = newrbe(P,T,SPREAD);
Undefined function or variable 'P'.
>> P1= FF1;
Undefined function or variable 'FF1'.
Hope this helps.
Thank you for formally accepting my answer
Greg
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