Neural network error correction for solving coupled ordinary differential equations

摘要

A neural network is demonstrated to learn errors generated by a numerical algorithm for solving coupled nonlinear differential equations. Comparisons are made for training the neural network using backpropagation and a new method which is found to converge with fewer iterations.