problem with closeloop Narx

Good, and I posted the problem that I have made, I return it to post to indicate that I have not yet found a solution to this problem and have if someone can help me. The boot files are twofold:

-One contains the inputs and consists of 2272 rows by 13 columns -the other file is composed of 2272 rows by 1 column.

The code already imported the split data for direct use.

I think the problem is that the network has been trained with dimensions and to create a new input data and targets, I do not meet those dimensions and still gives me error.

The code you posted I think it works correctly because I tested with some data in compliance with the network size and predicts well.

I will try to put the code used as clear as possible to see if you can give me some idea. I continued to test and I get the same error.

   if true

% PREDICTION %

xlsread p1; %matrix 1136x13

xlsread p2; %matrix 1136x13

xlsread t1; %matrix 1136x1

xlsread t2; %matrix 1136x1

p1=p1'; %matrix 13x1136

p2=p2'; %matrix 13X1136

t1=t1'; %matrix 1X1136

t2=t2'; %matrix 1x1136

nputSeries = tonndata(p1,true,false); %cell 1x1136

targetSeries = tonndata(t1,true,false); %cell 1x1136

% Create a Nonlinear Autoregressive Network with External Input

inputDelays = 1:1;

feedbackDelays = 1:1;

hiddenLayerSize = 16;

net = narxnet(inputDelays,feedbackDelays,hiddenLayerSize);

[inputs,inputStates,layerStates,targets] = preparets(net,inputSeries,{},targetSeries);

% Setup Division of Data for Training, Validation, Testing

net.divideParam.trainRatio = 70/100;

net.divideParam.valRatio = 15/100;

net.divideParam.testRatio = 15/100;

% Train the Network

[net,tr] = train(net,inputs,targets,inputStates,layerStates);

% Test the Network

outputs = net(inputs,inputStates,layerStates);

errors = gsubtract(targets,outputs);

performance = perform(net,targets,outputs);

% Closed Loop Network

netc = closeloop(net);

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

NumberOfPredictions = 3;

% Creating a new input series

newInputSeries = p2(1:NumberOfPredictions); %here I built the array must be

                                            %dimensioned 13x3
newInputSeries = [cell2mat(inputSeries(end-1:end) ) (newInputSeries)]; %

%matrix 13x5

newInputSeries = num2cell(newInputSeries); %cell 13x5

%Creating a new target

newTargetSet = nan(size(newInputSeries)); %matrix 13x5

newTargetSet = num2cell(newTargetSet );

newTargetSet (1:1) = targetSeries(end:end); %cell 13x5

% code
end

I tried to apply to normalize newInputSeries tonndata newTargetSet and out and in both cases a 1x5 matrix. Applying preparets out well but I simulate values for prediction makes me the following error:

"Error using network/sim (line 130) Layer state sizes does not match net.layers{:}.size."

Many thanks

[FRANCISCO]

I tried to apply to normalize newInputSeries tonndata newTargetSet and out and in both cases a 1x5 matrix. Applying preparets out well but I simulate values for prediction makes me the following error:

"Error using network/sim (line 130) Layer state sizes does not match net.layers{:}.size."

Many thanks