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Tactical intention recognition of aerial target based on XGBoost decision tree 被引量:9

基于XGBoost决策树的空中目标战术意图识别(英文)
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摘要 In order to improve the accuracy of target intent recognition,a recognition method based on XGBoost(eXtreme Gradient Boosting)decision tree is proposed.This paper adopts relevant data and program of python to calculate the probability of tactical intention.Then the sequence intention probability is obtained by applying Dempster-Shafer rule of combination.To verify the accuracy of recognition results,we compare the experimental results of this paper with the results in the literatures.The experiment shows that the probability of tactical intention recognition through this method is improved,so this method is feasible.
作者 WANG Lei LI Shi-zhong 王磊;李世中(中北大学机电工程学院,山西太原030051)
出处 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2018年第2期148-152,共5页 测试科学与仪器(英文版)
关键词 tactical intention recognition of target XGBoost(eXtreme Gradient Boosting)decision tree Dempster-Shafer combination rule 目标战术意图识别 XGBoost决策树 Dempster-Shafer证据合成理论
分类号 E91 [军事]
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