摘要
文章依据模式识别相关理论,采用贝叶斯判别分类方法,建立化工区重大危险源分级分类判别模型,通过计算机进行模拟实验验证,实验结果证明,基于Bayes方法的重大危险源分级判别正确率在95%以上,说明借助计算机辅助判别重大危险源级别具有较高的准确率,为重大危险源分级监管提供了新手段。
The important method of managing major hazard installations in chemical industrial zone was classified according to the risk degree. This paper presented a model of classifying major hazard installations based on pattern recognition method. The model was evaluated by a computer program in matlab9.0 platform, and the results proved that the accuracy of pattern recognition classifier was over 95%.By pattern recognition method, major hazard installations classification was effective and accurate at the aid of computer, which provided a new approach on risk assessment of major hazard installations in chemical industrial zone.
出处
《电脑与信息技术》
2015年第1期5-7,共3页
Computer and Information Technology
基金
上海市2013年度"科技创新行动计划"(项目编号:13231201800)
关键词
模式识别
BAYES
重大危险源
分类分级
pattern recognition
Bayes
major hazard installations
classification
