Risk Assessment in Power Plants Based on AIA Improved Support Vector Machines

被引：0
|
作者：
Sun, Wei [1 ]
Zhang, Jie [1 ]
机构：
[1] N China Elect Power Univ, Sch Business Adm, Baoding 071003, Peoples R China
来源：
2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6 | 2008年
关键词：
Risk assessment; Power plants; Classification; Support vector machines; AIA;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
According to the practical situation of risk assessment in power plants, a set of index system is established. The index system includes financial indexes and non-financial indexes. Then support vector machines (SVM) algorithm is used for assessment in this research. In this paper the step of improve SVM by artificial immune algorithm is given to show how to get the best effectiveness in SVM. In this paper we give an example coming from power plants data and the results show that the method can classify the data effectively, and the model has high correct classification accuracy.
引用
收藏
页码：487 / 491
页数：5
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