刘久富
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Education Level:南京航空航天大学
Scientific Research
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Scientific Research
Research Field
Paper Publications
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ljf. 贝叶斯网络分类器的基于改进粒子群参数学习方法.应用科技.2019
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ljf. 混沌量子粒子群的权重类条件贝叶斯网络分类器参数学习.系统工程与电子技术.2019
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ljf. 马氏田口施密特度量学习算法研究.计算机技术与发展.2018
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ljf. Fault diagnosis of rocket engine start-up process with partially observed Petri nets.Harbin Gongye Daxue Xuebao.2017
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ljf. Fault diagnosis of bipropellant propulsion system using partially observed time Petri nets.Xi Tong Cheng Yu Dian Zi Ji Shu/Syst Eng Electron.2018