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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.


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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