基于神经网络的广义两点边值问题

Research on Generalized Two Point Boundary Value Problem Based on Neural Network

在航天领域中 ,多数制导问题均可以抽象为广义两点边值问题。本文探讨了神经网络在广义两点边值问题求解中的应用。首先讨论了离线制导这一类静态两点边值问题的求解 ,在此基础上 ,对在线制导这一类动态两点边值问题进行了分析 。

A great number of guidance problems can be considered the problems of generalized two point boundary value in the field of aerospace. The paper discusses the methods to solve these problems with the help of neural network. The static two point boundary Value problems, such as offline guidance, are discussed in the paper. Based on the discussion, the dynamic two point boundary value problems, such as online guidance, are analyzed, and an effective method to solve them is presented.