How use the closed loop to predict future values

Hi, I'm new in using matlab, now I am modeling time series whit a NARX, this NARX was trined using a open loop, now I need to predict future values from a new input series so I used Closes loop to convert the net . this is in my code:

% Closed Loop Network % Use this network to do multi-step prediction. % The function CLOSELOOP replaces the feedback input with a direct % connection from the outout layer.

netc = closeloop(net);

netc.name = [net.name ' - Closed Loop'];

[xc,xic,aic,tc] = preparets(netc,inputSeries,{},targetSeries);

yc = netc(xc,xic,aic);

closedLoopPerformance = perform(netc,tc,yc)

the question is how can I apply for my new inputs?

have I to change the network preparets? if so, which arguments have to give?

NewOutputs=????

Thank you very much for you help. I have read many similar questions, but no answer has helped. I am a beginner and this is the last part of my master's thesis

Answer 1

[Greg Heath]

Search the NEWSGROUP and ANSWERS using

 greg narxnet closeloop

Hope this helps.

Thank you for formally accepting my answer

[karen faurrieta]

and this is a nerror Feedback and inputs have different numbers of timesteps.

 my Newinputserie is 1x183 cell, where the first cell contains 3 x values

[Greg Heath]

I don't understand

 size(cell2mat(Newinputseries)) = ?