Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Computer-Aided Design & Computer Graphics》 2009-05
Add to Favorite Get Latest Update

Hybrid Optimized Algorithm for Learning Bayesian Network Structure

Xu Lijia1,2) Huang Jianguo1) Wang Houjun1) Long Bing1) 1)(School of Automation Engineering,University of Electronic Science and Technology of China,Chengdu 610054) 2)(School of Information & Engineering Technology,Sichuan Agriculture University,Yaan 625014)  
Learning structure from large databases is one of the difficulties of learning Bayesian Networks. To cope with this problem,a new hybrid algorithm is proposed. By integrating PSO (particle swarm optimization) and GA effectively,it owns not only simply and strong global optimization of PSO,but also favorable parallel computing capability of GA. Therefore,the learning accuracy and efficiency can be increased. Finally the proposed algorithm is compared with other algorithms in typical Bayesian networks such as Asia and Cancer,experimental results show that the proposed algorithm is effective.
【Fund】: 国防基础科研(A1420061264);; 国家自然科学基金(60673011);; 博士点基金(20070614018);; 电子科技大学青年科技基金
【CateGory Index】: TP183
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【References】
Chinese Journal Full-text Database 1 Hits
1 HUANG He-xiao1,HENG Xing-chen2,PENG Jian-han11.Department of Information and Engineering,Shanghai Television University,Shanghai 200433,China 2.State Grid Information & Telecommunication Co.,Ltd,Beijing 100054,China;Structure learning algorithm of Bayesian networks on particle swarm optimization[J];Computer Engineering and Applications;2010-20
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 MU Zhi-gao, HU Hai-feng, HU Niao-qing (School of Mechatronics & Automation, National University of Defense Technology, Changsha 410073, China);Design of Prognostic and Health Management System For Weapon Equipment[J];Ordnance Industry Automation;2006-03
2 Zhang Xudong Li Yunze(School of Aeronautic Science and Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100191,China);Temperature prediction for nano satellite on orbit based on BP neural network[J];Journal of Beijing University of Aeronautics and Astronautics;2008-12
3 Yang Ping,Wu Jie South China U niversity of Technology,Guangzhou 5 10 6 40 ,China;REAL-TIME STATE SUPERVISORY SYSTEM AND FAULT DIAGNOSISFOR THERMAL POWER PLANT[J];AUTOMATION OF ELECTRIC POWER SYSTEMS;2000-17
4 WANG Cheng1,2,CHEN Guang-ju1,XIE Yong-le1 (1. CAT Lab,School of Automation Engineering of UESTC,Chengdu 610054,China; 2. KangXun Research Institute of ZTE,Shenzhen 518057,China);Fault diagnosis based on radial basis function neural network in analog and mixed-signal circuits[J];Journal of Circuits and Systems;2007-02
5 CHENG Bao-qing,HAN Feng-qin,GUI Zhong-hua (College of Electric Power,South China University of Technology,Guangzhou 510640, Guangdong Province,China);APPLICATION OF WAVELET TRANSFORM BASED GREY THEORY TO FAULT FORECASTING OF HYDROELECTRIC GENERATING SETS[J];Power System Technology;2005-13
6 Wu Weilin Zhu Ning (Colleye of Electrical Engineering, Zhejiang University, Hangzhou 310027, China);THE APPLICATION OF COMPLEXITY MEASURE ANALYSIS TO FAULT PREDICTION IN POWER ELECTRONIC CIRCUIT[J];Journal of Electronics and Information Technology;2003-05
7 Xu Li-jia①② Long Bing① Wang Hou-jun① ①(Institute of Automation Engineering, UEST of China, Chengdu 610054, China) ②(Institute of Information & Engineering Technology, Sichuan Agriculture University, Yaan 625014, China);Hybrid Training DHMM and Its Application to Check Transmitter Power[J];Journal of Electronics & Information Technology;2008-07
8 HUShou-song, LIU Ya(College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China);Reliable control for complex system[J];Journal of North China Electric Power University;2003-02
9 ZENG Sheng-kui, Michael G. Pecht, WU Ji ( Institute of Reliability Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China) ( CALCE Electronic Products and Systems Center,University of Maryland, College Park, MD 20742 USA);Status and Perspectives of Prognostics and Health Management Technologies[J];Acta Aeronautica Et Astronautica Sinica;2005-05
10 ZHANG Shu-nong,XIE Jin-song,KANG Rui(Dept.of System Engineering of Engineering Technology,Beijing University of Aeronautics and Astronautics,Beijing 100083,China);Framework of Prognostic and Health Monitoring Technologies of Electronic Products[J];Measurement & Control Technology;2007-02
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved