batch size in NARX model
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If in the NARX model of matlab, the batch size is always the full size of the data and there is no minibatch method, then why should we use the shuffling command net.divideFcn = 'dividerand'; if of course our data is not sequential or in order? How does shuffling help avoid local minima and convergence in this case ?
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