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基于神经网络的广义两点边值问题
引用本文:陈磊,王海丽,任萱.基于神经网络的广义两点边值问题[J].国防科技大学学报,2001,23(2):23-27.
作者姓名:陈磊  王海丽  任萱
作者单位:国防科技大学航天与材料工程学院,
摘    要: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 ,并给出了有效的解决方法

关 键 词:两点边值  神经网络  制导
文章编号:1001-2486(2001)02-0023-05
收稿时间:2000/6/28 0:00:00
修稿时间:2000年6月28日

Research on Generalized Two-Point Boundary-Value Problem Based on Neural Network
CHEN Lei,WANG Haili and REN Xuan.Research on Generalized Two-Point Boundary-Value Problem Based on Neural Network[J].Journal of National University of Defense Technology,2001,23(2):23-27.
Authors:CHEN Lei  WANG Haili and REN Xuan
Institution:College of Aerospace and Materials Engineering, National Univ. of Defense Technology, Changsha 410073, China;College of Aerospace and Materials Engineering, National Univ. of Defense Technology, Changsha 410073, China;College of Aerospace and Materials Engineering, National Univ. of Defense Technology, Changsha 410073, China
Abstract: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.
Keywords:two  point boundary  value  neural network  guidance
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