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Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
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How can I classify time-series given a predictor for each of them?
Say that I have two time-series and a predictor for each of them. I would like to build a classifer that given a window of future (and unseen) samples returns which series is more likely to have produ …