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
收藏
页码：201 / 208
页数：8
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