人工免疫系统整体架构及其在数据分类中的应用  

A Unified Artificial Immune System Framework and Its Application to Data Classification

作　　者：范玉宏[1] 

机构地区：[1]华中科技大学水电与数字化工程学院,湖北武汉430074

出　　处：《信息与控制》2005年第6期733-736,共4页Information and Control

摘　　要：受智能进化理论的启发,集成现有的免疫算法,加入更高的智能层次上新的免疫机制,建立了一个人工免疫系统的整体多层次架构.首先,从智能进化的角度说明基于整体免疫系统信息处理机制的算法具有更高的“计算”能力.然后,就一种新的基于人工免疫系统整体架构的数据分析算法,介绍了试验结果,并对结果进行了讨论.最后,笔者指出,人工免疫系统整体架构不仅可以提高现有算法的效率,而且可以扩展人工免疫系统的应用领域.*Inspired by intelligence evolution theory, we integrate several AIS （artificial immune sysiem ） algorithms ,add a new immune mechanism at the higher level of intelligence, and develop a unified multi-level areiuteeture for artificial immune systems. Firstly, frmn the perspective of intelligent evolution, we describe that the algonthm based on the whole information processing mechanism of immune system has much moire computing ability to deal with different information. Then, with regard to a new data analysis algorithm based on the unified AIS architecture, some experimental results are. presented and diseussed. Finally, we point ont that the unified AIS framework is not only able to improve the effieieney of the existing algorithms but also to extend the application domaiins.

关 键 词：人工免疫系统 免疫系统 数据分类 智能进化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]