NAOC Open IR
rbf神经网络在指向模型中的应用
许琨; 朱庆生
2008
Source Publication微计算机信息管控一体化
ISSN1008-0570
Volume024Issue:033Pages:228
Abstract提出一种新的望远镜指向修正方法,用于建立全天指向模型。该方法基于RBF神经网络,可直接依据坐标值进行建模。本文通过与传统建模方法比较,分析了神经网络的优点和缺点。实验结果表明该RBF神经网络所建模型有较强的修正能力。
Language英语
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/42564
Collection中国科学院国家天文台
Affiliation中国科学院国家天文台
First Author AffilicationNational Astronomical Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
许琨,朱庆生. rbf神经网络在指向模型中的应用[J]. 微计算机信息管控一体化,2008,024(033):228.
APA 许琨,&朱庆生.(2008).rbf神经网络在指向模型中的应用.微计算机信息管控一体化,024(033),228.
MLA 许琨,et al."rbf神经网络在指向模型中的应用".微计算机信息管控一体化 024.033(2008):228.
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