Classification problem using feed forward network

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Yijun GUO
Yijun GUO 2021-8-13
Hello, I faced a problem when I tried to apply feedforward network to classification. This is my code:
net = feedforwardnet(10);
net.performFcn = 'crossentropy';
net.performParam.regularization = 0.1;
net.performParam.normalization = 'none';
[net,tr]=train(net,trainSamples.P,trainSamples.T);
output_norm=sim(net,testSamples.P);
Error occured: 'Performance function replaced with squared error performance.'
It seems the error occured since the performance function for trainlm must be squred error.
But I can still have an output:
The result is ok for me.
I confirmed that the performance function was replaced by mes. So I changed 'net.performFcn = 'crossentropy' to 'net.performFcn = 'mse', and ran the code again. But the result was:
I don't know what happened. I changed the dataset and ran several timee but results were similar. The first condition made a better results for me. Do you have any comment on it？ Thanks

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