How to built time delay network for time series prediction ?

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Hi all
I have input p 5x101 cell and target t 1x101 cell. I want to use timedelaynet function to predict this time series. I write this script:
net = timedelaynet(1:8,10);
[Ps,Pi,Ai,Ts] = preparets(net,p,t);
The following error occurred:
Error using preparets (line 161) The number of input signals does not match network's non-feedback inputs.
Error in TimeSeriesPreduction (line 9)
[Ps,Pi,Ai,Ts] = preparets(net,p,t);
  1 Commento
pradeep
pradeep il 22 Ago 2013
Hi every one,
Can any one please guide me how to divide and prepare input and target cell from the raw data... can u please tell me what is the procedure for time series prediction... starting from beginning...??
please help me out...

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Greg Heath
Greg Heath il 10 Mar 2013
The created net does not know it is going to have a 5-dimensional input.
view(net)
Therefore, tell it by using CONFIGURE (help/doc) .
view(net) % Checking
Hope this helps.
Thank you for formally accepting my answer
Greg
  7 Commenti
Mirko Job
Mirko Job il 25 Set 2019
And what about if I have multiple time sequences on which i want to train my network?
Xunbi Ji
Xunbi Ji il 24 Mar 2021
Maybe this can help https://www.mathworks.com/help/deeplearning/ug/multiple-sequences-with-dynamic-neural-networks.html

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