Recurrent neural network for real-time prediction
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Eason
on 21 Jul 2017
Commented: Hamid Radmard Rahmani
on 10 Feb 2019
Hello,
I'd like to use first train RNN with dataset A contains input and targets and use the trained RNN to get prediction of dataset B with only input in it, but I encountered a problem that the function "preparets" requires targets and in reality I need RNN to give me the targets.
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Accepted Answer
Greg Heath
on 30 Jul 2017
You can use
[ net tr Y E Xf Af ] = train( net, X, T, Xi, Ai );
where Y = net(X,Xi,Ai)
and E = gsubtract(T,Y)
Hope this helps.
Thank you for formally accepting my answer
Greg
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More Answers (3)
Greg Heath
on 24 Jul 2017
Edited: Greg Heath
on 25 Jul 2017
Words are nice but including code is much better. Which training algorithm are you using ? ...NARXNET ?
Requiring a target to obtain an answer to a test input makes no sense. Where did you get that idea?
Reread the documentation.
Hope this helps,
Greg
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Eason
on 24 Jul 2017
3 Comments
Hamid Radmard Rahmani
on 10 Feb 2019
Hi Yiwen,
I am confused!
The output shall be also inlcuded in Xn to be able to use the preduced Xsn as input to the net.
So always it is required to have output as part of input to feed the RNN in matlab.
Can any body explain how to feed new data, in which only the inputs are exists, to a trained RNN to get outputs?
Thanks
Parimal Sarathi
on 20 Nov 2017
Hi Greg, I am also trying to solve a problem where I need to predict the outputs of a system (represented by the NarxNet Neural Network model). While training the network I am using a open loop network. For this I need to give the targets for preparets to format the training data for training. After training the network I am closing the network using
[cnet,cinitialinputdelay,cinitiallayerdelay] = closeloop(net,oinitialinputdelay,oinitiallayerdelay);
but this gives a very high performance values as compared to the one given by the open loop training process. When I investigated this I found out that the 4th parameter returned by preparets function, i.e. the Initial Layer Delay, is the different for the cases.
Just for the sake of the sanctity of the problem, I tried entering the parameters for the closed loop simulation after computing their values from the preparets function (which required me to give in the targets that my network needs to achieve). I couldn't find anything on how the Initial Layer Delay (Ai) is being calculated.
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