NSSC OpenIR
XGBoost在卫星网络协调态势预测中的应用
Alternative TitleApplication of Xgboost in the Prediction of Satellite Network Coordination Situation
朱明; 王春梅; 高翔; 王静
Source Publication小型微型计算机系统
2019
Volume40Issue:12Pages:2561-2565; AR:1000-1220(2019)40:12<2561:XZWXWL>2.0.TX;2-U
ISSN1000-1220
Language中文
Keyword卫星网络 协调态势 频轨协调 回归预测 集成学习 XGBoost satellite network coordinating situation frequency rail coordination XGBoost regression prediction integrated learning
Abstract针对目前卫星网路协调任务存在协调成本高、协调效率较低的问题,提出基于XGBoost(eXtreme Gradient Boosting,极端梯度提升树)的卫星网络协调态势预测方法.该方法采用XGBoost算法学习高维的卫星网络协调数据,构建卫星网络协调态势预测模型,实现卫星网络协调态势的有效预测.实验结果表明,XGBoost模型在卫星网络协调态势预测方面具有较好的优越性.
Other AbstractAiming at the problem of high coordination cost and low coordination efficiency of satellite network coordination tasks,a coordinated prediction method based on XGBoost(eXtreme Gradient Boosting) is proposed. The method uses XGBoost algorithm to learn the high-dimensional satellite network coordination data and to construct the satellite network coordination situation prediction model, and thus ensures the effective prediction of the satellite network coordination situation. The results show that the XGBoost model is better at predicting the satellite network coordination situation.
Indexed ByCSCD
Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7407
Collection中国科学院国家空间科学中心
Affiliation1.朱明, 中国科学院国家空间科学中心
2.中国科学院大学, 北京
3.北京 100190
4.100049, 中国.
5.高翔, 中国科学院国家空间科学中心
6.中国科学院大学, 北京
7.北京 100190
8.100049, 中国.
9.王春梅, 中国科学院国家空间科学中心, 北京 100190, 中国.
10.王静, 中国科学院国家空间科学中心, 北京 100190, 中国.
11.Zhu Ming, Nation Space Science Center,Chinese Academy of Sciences
12.University of Chinese Academy of Sciences, Beijing
13.Beijing 100190
14.100049.
15.Gao Xiang, Nation Space Science Center,Chinese Academy of Sciences
16.University of Chinese Academy of Sciences, Beijing
17.Beijing 100190
18.100049.
19.Wang Chunmei, Nation Space Science Center,Chinese Academy of Sciences, Beijing 100190, China.
20.Wang Jing, Nation Space Science Center,Chinese Academy of Sciences, Beijing 100190, China.
Recommended Citation
GB/T 7714
朱明,王春梅,高翔,等. XGBoost在卫星网络协调态势预测中的应用[J]. 小型微型计算机系统,2019,40(12):2561-2565; AR:1000-1220(2019)40:12<2561:XZWXWL>2.0.TX;2-U.
APA 朱明,王春梅,高翔,&王静.(2019).XGBoost在卫星网络协调态势预测中的应用.小型微型计算机系统,40(12),2561-2565; AR:1000-1220(2019)40:12<2561:XZWXWL>2.0.TX;2-U.
MLA 朱明,et al."XGBoost在卫星网络协调态势预测中的应用".小型微型计算机系统 40.12(2019):2561-2565; AR:1000-1220(2019)40:12<2561:XZWXWL>2.0.TX;2-U.
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