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Ship recognition based on improved forwards-backwards 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

10 引用 (Scopus)

摘要

Classical Forwards-Backwards (FB) algorithm can only be used to compute the input evidences with a single state. In order to break through its limitation, we presented a kind of improved FB algorithm to compute evidences with a single or more states, which generalized classical FB algorithm. First, we deduced the improved FB algorithm, then constructed fuzzy discrete dynamic Bayesian network model for ship recognition. This algorithm is very useful for effectively combining feature information to infer the type of the target accurately, which is proved by the simulation results. In addition, we can use the improved forwards algorithm to perform online reference, and the improved FB algorithm to perform offline reference and analysis, the accuracy of the target recognition can be ensured.

源语言英语
主期刊名6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009
509-513
页数5
DOI
出版状态已出版 - 2009
活动6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009 - Tianjin, 中国
期限: 14 8月 200916 8月 2009

出版系列

姓名6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009
5

会议

会议6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009
国家/地区中国
Tianjin
时期14/08/0916/08/09

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