[D] LSTM vs vanilla RNN for trajectory prediction? • r/MachineLearning

If you already understand the underlying system, then machine learning maybe not be the best approach. You would do better using the physical equations for the system, and then only use parameter estimation in cases where you don't know one or more of the parameters. A physical model will be far more general than an ML model. The ML model will likely overfit to the cases you give it, and even if you manage to fix that, it will fail when it sees something qualitatively new. The physical equations will generalize to any scenario no matter what it looks like, so long as the assumptions are resonably respected.