Approximate Solutions of Initial Value Problems for Ordinary Differential Equations Using Radial Basis Function Networks

作者:Fatma B. Rizaner, Ahmet Rizaner

摘要

We present a numerical approach for the approximate solutions of first order initial value problems (IVP) by using unsupervised radial basis function networks. The proposed unsupervised method is able to solve IVPs with high accuracy. In order to demonstrate the efficiency of the proposed approach, we also compare its solutions with the solutions obtained by a previously proposed neural network method for representative examples.

论文关键词:Initial value problems, Ordinary differential equations, Radial basis function network, Artificial neural networks, Function approximation

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论文官网地址:https://doi.org/10.1007/s11063-017-9761-9