About neural network : newbie question
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Parkz Leingodz
on 18 Dec 2013
Commented: Parkz Leingodz
on 20 Dec 2013
I am a new to matlab. I just covert my image to matrix and want to train it. here is my coding:
P= [];
for i =1:15
str=strcat('E:Skripsi\crop2\image',int2str(i),'.bmp');
eval('img=imread(str);');
img=reshape(img,[],1);
P= [P img];
end
T=[1 1 1 1 1 1 1 1 1 1 0 0 0 0 0];// if true image i make it 1 , negative image make it 0
p = num2cell(P,1);
t = num2cell(T,1);
net = newff(minmax(p), [3 1], {'logsig' 'purelin'});
net.trainParam.epochs = 10;
net = train(net,p,t);
Y=sim(net,p)
these is what i got when i compile it
[0.9794] [0.9974] [1.2784] [1.0014] [1.0058] [0.9904] [0.7293] [1.0001] [1.0106]
Columns 10 through 15
[1.0002] [0.0618] [3.3131e-04] [9.9559e-04] [0.0134] [0.0178]
then my problem is what should i do to make the result success i train in percentage with error below 1% (what i want: example i train 10 true image to 1 and one result of my train is 0.798 then accurate =90%) thanks for the help.
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Accepted Answer
Greg Heath
on 19 Dec 2013
There is no reason to use cells or only train for 10 epochs.
Use round to convert the output to {0,1}
Thank you for formally accepting my answer
Greg
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