Iam master student my studying the performance comparison between four networks training functions methods in Artificial neural network (ANN), trainlm, traingda trainbfg and trainrp I use two test Complex modulus and phase angle I use this cod this cod ————————————————————- net=feedforwardnet(10,'trainlm'); net=train(net,x,t); p=sim(net,i); I fund good regression but the problem I faced is the MAE MSE RMSE(error) are not good there is very big different after I compere the actual and the predicted data idont know wich type of ANN i use this sample of my data my data it has big variety i have 1008 sample the numbers start from 3 until 4000000 To be like this and I sort it from smallest to the lager number the first three Columns Are the input( the first one is freq second one temperature third one the angel of twist fourth one the types of petrol )
0.015 10 5 1 1170000 15 35 5 1 1175000 0.1 15 3 1 1200000 2 25 5 2 1205000 0.2 15 5 3 1215000 0.05 10 5 3 1235000 0.02 10 7 2 1270000 0.15 15 3 2 1275000 10 35 7 1 1300000
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