Tags: physics-based machine learning

Papers (1-1 of 1)

  1. Parsimonious Neural Networks Learn Classical Mechanics and Can Teach It

    Papers | 15 May 2020 | Contributor(s):: Saaketh Desai, Alejandro Strachan

    We combine neural networks with genetic algorithms to find parsimonious models that describe the time evolution of a point particle subjected to an external potential. The genetic algorithm is designed to find the simplest, most interpretable network compatible with the training data. The...