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A kind of data repairing for missing data of discrete dynamic Bayesian networks forwards information repairing algorithm

  • Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

The study about static Bayesian networks with missing data has got some mature algorithms. Because of the complexity of Dynamic Bayesian Networks (DBNs), the mature methods can't be directly extended to dynamic systems. We proposed a kind of data repairing for the missing data of Discrete Dynamic Bayesian Networks (DDBNs). It incorporated network parameters, evidences and dynamic networks to predict the missing data. It's also an online repairing algorithm. Repairing algorithm was deduced in theory and verified by examples. Repaired networks make the target track and identification ability stronger. It can greatly improve the accuracy and reliability of the identification systems.

源语言英语
主期刊名5th International Conference on Natural Computation, ICNC 2009
出版商IEEE Computer Society
47-51
页数5
ISBN(印刷版)9780769537368
DOI
出版状态已出版 - 2009
活动5th International Conference on Natural Computation, ICNC 2009 - Tianjian, 中国
期限: 14 8月 200916 8月 2009

出版系列

姓名5th International Conference on Natural Computation, ICNC 2009
6

会议

会议5th International Conference on Natural Computation, ICNC 2009
国家/地区中国
Tianjian
时期14/08/0916/08/09

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