Solving complex differential equation using unsupervised neural networks
Abstract
The ability of neural networks (NN) to solve differential equations (DE) was demonstrated recently. In this paper, we demonstrate a general method of solving complex differential equation based on unsupervised neural networks. In particular, the paradigm is utilized to approximate the temporal profile of pulse propagating along a nonlinear and dispersive medium.
Downloads
Published
1998-10-27
Issue
Section
Instrumentation and Computational Physics
How to Cite
[1]
CP Monterola and CA Saloma, Solving complex differential equation using unsupervised neural networks, in Proceedings of the 16th National Physics Congress of the Samahang Pisika ng Pilipinas (Philippines, 1998), SPP-1998-IC-02. URL: https://proceedings.spp-online.org/article/view/SPP-1998-IC-02



