How to use the trained network to predict future values?

Hi! I have created neural network using nnstart: NAR; d = 10. After training I saved network in workspase (name: net). Now can I use this trained network to predict future 10 values?

Answer 1

[Greg Heath]

If the new data immediately follows the data used to design and test the net, the following syntax should have been used

[ net tr Ys Es Xsf Asf ] = train(net,Xs,Ts,Xi,Ai);

Xinew = Xsf; Ainew = Asf;

Ysnew = net(Xsnew,Xinew,Ainew);

Otherwise

Xinew = Xnew(:,1:d); Xsnew = Xnew(:,d+1:end)

but Ainew is not known.

I would try the mean of the previously used test target data rather than use zeros. Perhaps several designs using values in the interval [mean-stdv,mean+stdv] would be useful.

Hope this helps.

Thank you for formally accepting my answer

Greg

[Greg Heath]

This is similar to asking for the solution of a 2nd order differential equation when you know the forcing function but don't know the initial conditions.

Answer 2

[Jonathan LeSage]

Once you have trained a network, you can use your net as a function. In your case, the outputs of the neural network could be found via outputs = net(inputs).

Here is some additional documentation that you might find helpful:

http://www.mathworks.com/help/nnet/gs/neural-network-time-series-prediction-and-modeling.html

Hope this helps and best of luck!

[MUKESH KUMAR]

showing error,

"Error using network/sim (line 266)

Number of inputs does not match net.numInputs."