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Train NARX-Neural Network multiple Inputs/Outputs data from multiple experiments

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Federico Alberto Gorrini
I have a system with 3 inputs and 4 outputs, the data is stored in 3D matrices as follows:
Input: X(i,j,k) = [400 x 3 x 10]
Output: Y(i,j,k) = [400 x 4 x 10]
where i: number of measurement point.
j: number of variable (input or output variable).
k: number of experimental run.
I need to pass this data through the command 'train' so I obtain the NN parameters.
How can I manage the data to achieve it? Which commands should I use? Could you give me a sequence of commands to process the matrixes so I obtain an arrange able to be place in the command 'train'?
Thanks in advance!

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