Best machine learning model to predict times series from initial conditions
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Hi all,
I have some time series generated from a set of initial conditions, to make an example I will call them A, B, C and D conditions.
Each time history has its value of A, B, C and D.
I would like to know which is the best machine learning model with which I can develop a trained framework predicting the corresponding time history behaviour giving the A, B, C and D conditions.
Thank you
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