How to standardize/normalize values MULTIPLE SEQUENCES in neural networks?
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I have an cell array of {1x491} with [2x33] values. Technically, I have 33 time series of length 491 with padded NaNs.
I need to standardize/normalize my inputs and outputs to find the significant lags of the inputs and the feedback.
I have tried this, however, I lose my resolution and everything is converted to -1 or 1. I don't know if I should do the zscore of X and T instead, and how to do it?
x = cell2mat(X);
t = cell2mat(T);
%x = zscore(x, 1);
%t = zscore(t, 1);
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