ANN matlab

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

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net=feedforwardnet(10,'trainlm');

net=train(net,x,t);

p=sim(net,i);

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before the running the program must it get three variables x,t,and i the data it divided by two parts testing and training it will be like that

70% of input and output these are training the 70% of input it is called (x) the 70% of output it called (t) .

30% of output is testing data this one called (i) .

The 30% of output it is the actual data that it will be compare between it and the predicted data that it we get it after program running and after using the below functions to get the errors RMSE, MAE MSE and R^2 as show

(MAE=1/n ∑_(i=1)^n▒|x-y| )

(MSE=1/n ∑_(i=1)^n▒〖(x-y)〗^2 )

X is actual data

Y is predate data

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

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 )

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)

this sample of the data

0.01 75 3 2 3

0.015 75 3 2 4

0.01 75 5 2 4

0.01 75 3 1 5

0.02 75 3 2 5

0.01 75 3 3 5

question

i want some one to help me to get less errors between actual and the predicted data

by write new cod or use the perfect algorithm in any way to solve errors problem.

Алгоритм Техніка Matlab and Mathematica

ID Проекту: #9468507

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