Neural Network code
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I have written a code in Matlab for neural network training and testing. But, it is not working as expected. I am training the network with input and target and testing it with test input and plotting the response against the actual response. mse is too high. The value of mse that I am getting is 15.4. Is there any mistake in the code? Can you take a look at the code and help me out !!
load a1.txt ( Input )
load a4.txt (Target)
load b1.txt (Test input)
load b4.txt (actual output)
[pn1,PS] = mapminmax(P');
[tn1,TS] = mapminmax(T');
y2_again = mapminmax('reverse',y2',TS);
Thanks & Regards,
Lucas García 2011년 10월 6일
Your code is basically creating a network with only one layer of neurons. With newfit this means that the network is trying to find the line that best fits the network.
However, your data might have a couple of nonlinearities (it doesn't necessarily have to be linear). Introducing a second layer of neurons will help to capture those situations. To do so, pick a number of neurons for your hidden layer (this depends on the complexity of your data). For example:
n = 25;
Now the response of your network should have been improved.
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