Multi-agent immune recognition of water mine model

被引：0
|
作者：
Liu Hai-bo [1 ]
Gu Guo-chang [1 ]
Shen Jing [1 ]
Fu Yan [1 ]
机构：
[1] Harbin Engn Univ, Sch Comp Sci & Technol, Harbin 150001, Heilongjiang, Peoples R China
来源：
JOURNAL OF MARINE SCIENCE AND APPLICATION | 2005年 / 4卷 / 02期
关键词：
muhi-agent system; immune neural network; clonal selection; pattern recognition; water mine model;
D O I：
10.1007/s11804-005-0032-1
中图分类号：
U6 [水路运输]; P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
It is necessary for mine countermeasure systems to recognise the model of a water mine before destroying because the destroying measures to be taken must be determined according to mine model. In this paper, an immune neural network (INN) along with water mine model recognition system based on multi-agent system is proposed. A modified clonal selection algorithm for constructing such an INN is presented based on clonal selection principle. The INN is a two-layer Boolean network whose number of outputs is adaptable according to the task and the affinity threshold. Adjusting the affinity threshold can easily control different recognition precision, and the affinity threshold also can control the capability of noise tolerance.
引用
收藏
页码：44 / 49
页数：6
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