Parameter inversion characteristics of machine learning method

It has good fitting characteristics for nonlinear problems with unclear physical model.

Machine learning method has good fitting characteristics for nonlinear problems with unclear physical model in a data-driven way, and shows great potential in the field of physical field information inversion.

There are three methods of machine learning: supervised learning, unsupervised learning and reinforcement learning.