A Novel Adaptive Danger Model Algorithm

被引：0

作者：

Hong Lu ^{[1
,2
]}

Yang Jing ^{[3
]}

机构：

[1] Huaihai Inst Technol, Sch Elect Engn, Lianyungang 222005, Peoples R China

[2] Jiangsu Prov R&D Inst Marine Resources, Lianyungang 222001, Peoples R China

[3] Guizhou Univ, Elect Engn Coll, Guiyang 550003, Peoples R China

来源：

PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年

关键词：

Danger model; Artificial Immune system; Adaptive Adjustment;

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：

Danger model theory is a new theory of immunology, and it breaks a new path for immunology research. The general situation and running mechanism of danger model are presented in this paper. A novel adaptive danger model algorithm is presented. The algorithm identifies "dangerous" as the core idea and introduces antigen presenting cell and different danger signals. To solve the danger area selection problem, in the amelioration algorithm, the danger area radius is adaptive adjustment with the increase of iteration. Experimental results show that new algorithm provides by higher discrimination ratio.

引用

页码：7216 / 7219

页数：4

共 8 条

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