Adaptive Hybrid Immune Detector Maturation Algorithm

被引：0

作者：

Chen, Jungan ^{[1
]}

Chen, Wenxin ^{[1
]}

Liang, Feng ^{[1
]}

机构：

[1] Zhejiang Wanli Univ, Elect Informat Dept, Ningbo 315100, Zhejiang, Peoples R China

来源：

HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS, PT 2 | 2010年 / 6077卷

关键词：

artificial immune system; anomaly detection; adapt problem;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work, a novel Adaptive Hybrid Immune Detector Maturation Algorithm is proposed for anomaly detection. T-detector Maturation Algorithm and Dynamic Negative Selection Algorithm are combined with a new state transformation model. Experiment results show that the proposed algorithm solves the population-adapt problem and can generate detectors with higher affinity.

引用

页码：201 / 208

页数：8