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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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Accepted Answer

Dinesh Yadav
Dinesh Yadav on 9 Mar 2020
Hi Giacomo,
For time series forecasting use ARIMA or NARX algorithm.
For time series prediction use LSTM or RNN algorithm.
Hope it helps.

  2 Comments

Giacomo Notaro
Giacomo Notaro on 12 Mar 2020
Hi, exploring your solutions I didn't find a model which starts from some values to reconstruct a time series.
They only predict the future steps of an existing time series. I need something which knows only the initial conditions, not the first time steps values. It has to build a sequence from scratch based on the experience of initial conditions and their associated feedback resulting time series.

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