| 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.[点击复制] |
| CHEN Lei,WANG Haili,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[点击复制] |
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| 基于神经网络的广义两点边值问题 |
| 陈磊, 王海丽, 任萱 |
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(国防科技大学 航天与材料工程学院, 湖南 长沙 410073)
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| 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 |
| DOI： |
| 投稿日期：2000-06-28 |
| 基金项目: |
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| Research on Generalized Two-Point Boundary-Value Problem Based on Neural Network |
| CHEN Lei, WANG Haili, REN Xuan |
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(College of Aerospace and Materials Engineering, National Univ. of Defense Technology, Changsha 410073, China)
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| 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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