I have successfully trained an RBF network using two layers and I can readily get the weights and biases for both layers. Using these weighs and bias values I want to reproduce the network to track the values of the inputs at various stages. Unlike In MLP, I can't seem to find any means to generate the code for the trained network. So far what I have done are as follows.
note: Before training the RBF with newrb I normalized the inputs and outputs between 0.1 to 0.9.
iw=cell2mat(net.iw(1)); %input weight
lw=cell2mat(net.lw(2,1)); %layerweight
ib=cell2mat(net.b(1)); %input bias
lb=cell2mat(net.b(2)); %layer bias
a= radbas(netprod(dist(iw,pn),ib)); %radial basis transfer function
a2=dotprod(net.lw{2,1},a); %product of first layer output with layer weights
a2=gadd(a2,net.b{2}); %add with layer bias
a2=mapminmax('reverse',a2,ts); %reverse the normalization as followed in the newrb which was from 0.1 to 0.9
However I am not getting the a2 outputs equal to the ones I got from net(pn).
Please help me.
Hi,
I can give you this Matlab code, in the hope that help you and unlock your situation
Best wishes
Abderrachid Hamrani Thank you for the kind help. It was very informative.
Dear Rajkumar Shufen,
Look the link. May be useful.
https://chrisjmccormick.wordpress.com/2013/08/15/radial-basis-function-network-rbfn-tutorial/
http://lab.fs.uni-lj.si/lasin/wp/IMIT_files/neural/NN-examples.pdf
http://www.cc.gatech.edu/~isbell/tutorials/rbf-intro.pdf
Regards, Shafagat
Dear Rajkumar Shufen, I woul like make a code for RBF with Matlab, can you help me?
Thanks
Dear Rajkumar Shufen, I woul like make a code for RBF with Matlab, can you help me? can u send me sorce codes of rbfn my email adress [email protected] Thanks
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