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.
% 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
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
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
