Machine Learning, Deep Learning, Timeseries, Applied Mathematics, Signal Processing.
trained the network so that it would take the last 10 values of a time series and then predict the decomposed into an 11-tuple vector version of the next value. If you were collecting data with some instrument, you don’t observe the IMFs, they are constructs, after all. So the idea is that if,