Finding approximate analytical solutions of differential equations using Neural Networks with self-adaptive training sets

Artificial Neural Networks are known as powerful models capable of discovering complicated patterns and are de facto standard models in deep learning. But they are also universal function approximators and, consequently, their applicability extends to finding approximate solutions for many computational problems. These applications are interesting not only for mathematicians, but also for computer...