Pattern recognition for ship based on bayesian networks

Qingjiang Wang, Xiaoguang Gao, Daqing Chen

科研成果: 书/报告/会议事项章节会议稿件同行评审

15 引用 (Scopus)

摘要

Bayesian networks (BNs) are a powerful tool for pattern recognition. A BNs has two parts: parameters and structure composed of a directed acyclic graph (DAG) with some nodes. Then, according to the target feature, an approach based on BNs for pattern recognition is presented and the step of the approach is presented: constructing its nodes, modifying the node's states and distributing the node's probability. The process using the approach for pattern recognition is showed by an experiment, and the empirical results provide evidences that the approach is reasonable and effective.

源语言英语
主期刊名Proceedings - Fourth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007
684-688
页数5
DOI
出版状态已出版 - 2007
活动4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007 - Haikou, 中国
期限: 24 8月 200727 8月 2007

出版系列

姓名Proceedings - Fourth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007
4

会议

会议4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007
国家/地区中国
Haikou
时期24/08/0727/08/07

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