Моделирование нестационарных полей в неоднородных областях с помощью нейронных сетей

Abstract

The possibility of solving partial derivative differential equations by using neural networks with specific structure is investigated in the article. The simple single-layer neural network ability to approximate the solution of PDE is proved. A simple example of described method application is given.