How to use the trained network to predict future values?

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Dmitrii
Dmitrii 2013-10-15
评论： MUKESH KUMAR 2020-5-6
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?

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Greg Heath
Greg Heath 2013-10-17
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
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Greg Heath
Greg Heath 2013-10-23
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.

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Jonathan LeSage
Jonathan LeSage 2013-10-15
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!
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MUKESH KUMAR
MUKESH KUMAR 2020-5-6
showing error,
"Error using network/sim (line 266)
Number of inputs does not match net.numInputs."

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