基于神经网络的广义两点边值问题
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Research on Generalized Two-Point Boundary-Value Problem Based on Neural Network
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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。

    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.

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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.
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.

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  • 收稿日期:2000-06-28
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  • 在线发布日期: 2013-08-21
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