Dear Matlab experts, actually I'm using Deep Learning Toolbox to create a Narx network to predict the dynamic response of a part of an internal combustion engine. I'm using 'catsamples' to use different data acquisition for train the network whith a complete DoE, but I have a problem:
I would like to use all these acquisitions to train the network, and take a separate acquisition for validation and testing without using 'divideblock'. It's possible to do that?
Furthermore, I'm using 'trainlm' and 'divideblock' (80/10/10) to divide the dataset into train/validation/test data, but I have not understood how this division works with multiple acquisition (catsasamples).
I'd really appreciate anyone who can help me.