Hi all pros and gurus on mathworks, I've made a neural network classifier according to these codes
P=[ 0.0756 0.0679 0.0848 0.0172 0.0283
0.0000 0.0000 0.0000 0.0000 0.0000
0.0002 0.0002 0.0002 0.0002 0.0001
0.0005 0.0003 0.0005 0.0008 0.0004
0.0004 0.0003 0.0004 0.0012 0.0008
0.0007 0.0004 0.0005 0.0013 0.0049
0.0021 0.0013 0.0015 0.0025 0.0153
0.0071 0.0049 0.0061 0.0075 0.0132
0.0222 0.0184 0.0235 0.0123 0.0078
0.0434 0.0447 0.0551 0.0060 0.0045
0.0470 0.0297 0.0453 0.0011 0.0009]
T=[
1 0 0 0 0
0 1 0 0 0
0 0 1 0 0
0 0 0 1 0
0 0 0 0 1
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0 ]
net = newff(P,T,20,{'tansig','logsig'});
net.performFcn = 'mse';
net.trainParam.epochs = 100;
net.trainParam.mc = 0.98;
net.trainParam.lr=0.001;
net.trainParam.lr_inc=1.06;
net.trainParam.lr_dec=0.7;
%train the network net = train(net,P,T); y = sim(net,P);
Pone= [0.0756
0.0000
0.0002
0.0005
0.0004
0.0007
0.0021
0.0071
0.0222
0.0434
0.0470]
Ptwo= [0.0679
0.0000
0.0002
0.0003
0.0003
0.0004
0.0013
0.0049
0.0184
0.0447
0.0297]
Pthree= [0.0848
0.0000
0.0002
0.0005
0.0004
0.0005
0.0015
0.0061
0.0235
0.0551
0.0453]
res1 = sim(net,Pthree); disp('res1='); disp(res1);
[Co,I] = max(res1);
save('NNClassifier2five.mat','net')
if (I == 1)
disp('This is a signal of Normal Heart Sound')
elseif (I == 2)
disp('This signal is classified as illness: S3')
elseif (I == 3)
disp('This signal is classified as illness: S4')
elseif (I == 4)
disp('This signal is classified as illness: Aortic Stenosis')
elseif (I == 5)
disp('This signal is classified as illness: Aortic Regurgitation')
else
disp('Error: No Classification is available')
end
I've tried to train the NN using P=[training features] starting from 11x3, 11x4, both of them are returning very well trained and precise NN, My problem now is my Neural network doesn't return satisfying result if my classes are above 5 (11x5)
Anyone can point out my mistakes? I'm still very new to matlab. Hope that I get replies soon
