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基于多标签学习的创伤救治层链决策研究
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作者 赵鹏飞 刘华 《数据采集与处理》 CSCD 北大核心 2022年第2期446-455,共10页
在现代创伤救治中,根据患者伤情进行合理而准确的院前评估并制定相应的救治决策对降低患者伤残率与死亡率具有重要意义。为了改善人工制定决策的缺陷,实现准确合理的标准化创伤救治决策制定,本文利用多标签学习思想,在对创伤救治决策进... 在现代创伤救治中,根据患者伤情进行合理而准确的院前评估并制定相应的救治决策对降低患者伤残率与死亡率具有重要意义。为了改善人工制定决策的缺陷,实现准确合理的标准化创伤救治决策制定,本文利用多标签学习思想,在对创伤救治决策进行深入分析与研究的基础上,将整体救治决策进行子决策划分,并提取出子决策对应的判定因素作为标签集。为了更好地考虑标签间的关联,将Classifier Chains算法的链式思想与多标签K近邻(Multi-label K-nearest neighbor,ML-KNN)算法融合,提出一种层链多标签学习算法,称为层链多标签K近邻算法(Layer chain ML-KNN,LCML-KNN)。LCML-KNN算法将标签依特点划分为两个层链,在第一层链的预测标签信息输出后对其进行独热编码,转化后的标签看作新特征放入第二层链进行预测与判断。LCML-KNN算法不仅更好地考虑了标签间的关联性,而且通过标签转化扩充了特征维数。在两个创伤类数据集上与现有各类多标签算法进行实验对比,结果验证了LCML-KNN算法的鲁棒性和优越性。 展开更多
关键词 多标签学习 创伤救治 决策制定 层链划分 多标签K近邻
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Air Route Network Generation Based on Traffic Assignment 被引量:2
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作者 WANG Shijin LIN Jingjing HAN Yunxuan 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2020年第2期223-231,共9页
Air route network is the carrier of air traffic flow,and traffic assignment is a method to verify the rationality of air route network structure.Therefore,air route network generation based on traffic assignment has b... Air route network is the carrier of air traffic flow,and traffic assignment is a method to verify the rationality of air route network structure.Therefore,air route network generation based on traffic assignment has been becoming the research focus of airspace programming technology.Based on link prediction technology and optimization theory,a bi-level programming model is established in the paper.The model includes an upper level of air route network generation model and a lower level of traffic assignment model.The air route network structure generation incorporates network topology generation algorithm based on link prediction technology and optimal path search algorithm based on preference,and the traffic assignment adopts NSGA-Ⅲalgorithm.Based on the Python platform NetworkX complex network analysis library,a network of 57 airports,383 nodes,and 635 segments within China Airspace Beijing and Shanghai Flight Information Regions and 187975 sorties of traffic are used to simulate the bilevel model.Compared with the existing air route network,the proposed air route network can decrease the cost by 50.624%,lower the flight conflict coefficient by 33.564%,and reduce dynamic non-linear coefficient by 7.830%. 展开更多
关键词 air route network link prediction traffic assignment bi-level programming NSGA-Ⅲ algorithm
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