Artificial Fish Swarm Algorithm in Industrial Process Alarm Threshold optimization

被引：0

作者：

Chen Haifeng ^{[1
]}

Sun Xuebin ^{[1
]}

Chen Dianjun ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Sch Informat & Engn, Key Lab Universal Wireless Commun, Minist Educ, Beijing, Peoples R China

来源：

2016 16TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT) | 2016年

关键词：

AFSA; KDE; Lose Function; TE Process;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Artificial fish-swarm algorithm is a novel method to search global optimum, which is typical application of behaviorism in artificial intelligence. Compared with traditional method it is more portability and stability. This paper, based on the loss function to increase the enterprise benefit, brings forward an optimized criterion of setting threshold to relieve the security officer work in the chemical industry. In addition, we add lose function into threshold optimization to explain the benefit of a program is suit for the actual environment. The simulation results show that the proposed algorithm has greatly improved the system performance.

引用

页码：691 / 694

页数：4