Hello,
I have a prediction problem with 6×365 inputs( 6 represent, for example, the temperature for last six hours since now of every day from my database registrations) and 1×365 targets(I want to predict the next hour temperature). I don't how to choose the number of hidden layers, the number of nodes, the training algorithm, the transfer function.
That's my code now and the output is not very desirable:
net1 = newff(minmax(Input_temp),[20 1],{'tansig' 'purelin'},'traincgb','learngd');net1.trainParam.epochs = 5000;[net1,pr] = train(net1,Input_temp,Target_temp);Output_temp = net1(Sample_temp)
Thank you for your time, Have a good day!
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