Artificial neural network (ANN), trainlm, traingda trainbfg and trainrp

i use ANN in my study ihave I fund good regression but the problem I faced is the MAE MSE RMSE are not good there is very big different after I compere the actual and the predicted data

I use data it content three types of asphalt those come from three types of petrol middle east, Russian and Venezuelan and 3 angles (3,5and 7) degree I arraignment the data that was like this All data for phase angle complex modules 1008 sample for modify test every test All data for phase angle complex modules 322 sample for control test every test 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 ) I defined the types by number 1,2 and 3 Number 1 Middle East Number 2 Russian Number 3 Venezuelan last one is the output(after sort it in Microsoft Excel) I use Microsoft Excel to find the errors by Excel equations my question is winch type of algorithm i must use in my work

Answer 1

[Greg Heath]

The current NN function to use for regression is

 FITNET (a special case of FEEDFORWARDNET)

it was created to replace

 NEWFIT ( a special case of NEWFF)

For details use the help and doc commands. Then, you can look at some of my posts in both the NEWSGROUP and ANSWERS. For example, search using

 greg fitnet

Hope this helps.

Thank you for formally accepting my answer

Greg