摘要
为有效研究人为失误导致船舶碰撞事故的形成机理,采用贝叶斯网络结构和数据挖掘算法构建事故致因链.分析128起典型人为失误致因船舶碰撞事故案例,依据事故中驾驶员认知行为形成过程,采用贝叶斯网络构建事故致因网络结构;采用Apriori算法和JAVA语言编程挖掘事故的人为失误频繁因素组合,得出导致碰撞事故的人为失误致因链.
To effectively analyze the formation mechanism of ship collision accident , an accident causation chain was struc-tured based on Bayesian network and data mining algorithm . 128 cases of typical human errors caused ship collision acci-dents were analyzed , and the network structure of accident cause was built according to driver ’ s cognitive behavior for-mation process .Apriori algorithm and Java program were em-ployed to identify frequent occurrence human error , and the accident causation chain was formed.
出处
《大连海事大学学报》
CAS
CSCD
北大核心
2014年第2期10-12,共3页
Journal of Dalian Maritime University
基金
国家自然科学基金资助项目(2013Z0216)
关键词
船舶
碰撞事故
数据挖掘
关联规则
人为失误
致因链
ship
collision accident
data mining
association rule
human error
causation chain
