Hi Hemant,
I understand that you want to train a NARX network with data of different dimensions.
The error you're encountering with the 'preparets' function is due to the fact that 'preparets' expects the input and target data to have the same sequence length when they are presented as cell arrays. Each cell in the input and target arrays should correspond to a separate sequence (or time series), but all sequences within each array must have the same length. This is not the case with your data, as you have sequences of different lengths.
Instead of trying to train on all data at once, you can loop through each sequence, prepare it using 'preparets', and then perform training on that sequence. This method allows you to accommodate the varying lengths of your sequences by preparing and training them one at a time. Please refer to the following code snippet to implement this approach:
for i = 1:length(X_Train)
% Convert data format for preparets
inputs = con2seq(X_Train{i}');
targets = con2seq(Y_Train{i}');
% Prepare the data for the i-th sequence
[x, xi, ai, t] = preparets(net, inputs, {}, targets);
[net, tr] = train(net, x, t, xi, ai);
end
You can refer to the following documentation link for more information on the 'con2seq' function used in the above code snippet:
Hope this helps!
