creating Neural Network model using divided data

Hii

I divided data for training, validation and testing, now I want to make a neural network model, can anyone help me what should I do next with these three data. ex; A=rand(10), input should be A1 = A(1:10,1:9), target A2=A(1:10,10), [tr,v,ts] = dividerand(A,0.6,0.2,0.2)

If it's not clear please inform me, because I just learn ANN and MATLAB

Thank you, Muammar

Answer 1

[Greg Heath]

1. Decide what type of neural network you want.

2. Read the documentation, examples and demos.

3. Try to duplicate at least one of the above.

4. Write and test code for your problem.

5. If you have problems post to the Newsgroup or Answers with relevant code and error messages (if any).

Hope this helps.

Greg

[Muammar]

I want to use backpropagation