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基于优化目标可调控的免疫网络算法的分析与应用
引用本文:王帆,田玉玲.基于优化目标可调控的免疫网络算法的分析与应用[J].数字社区&智能家居,2010,6(10):2384-2386.
作者姓名:王帆  田玉玲
作者单位:太原理工大学计算机与软件学院;
摘    要:针对目前几种免疫网络模型在数据聚类方面应用的一些不足,在aiNet免疫算法的基础上结合函数优化的思想提出一种基于目标可调控的免疫模型。并在算法中给出目标控制函数,和细胞记忆库的概念。本算法提高了免疫学习质量并从整体上对免疫网络进行优化。

关 键 词:人工免疫算法  聚类  数据压缩  

The Analysis and Application of Artificial Immune Algorithm Based on Object-controllable
WANG Fan,TIAN Yu-ling.The Analysis and Application of Artificial Immune Algorithm Based on Object-controllable[J].Digital Community & Smart Home,2010,6(10):2384-2386.
Authors:WANG Fan  TIAN Yu-ling
Affiliation:Computer and Software Department in Taiyuan University of Technology;Taiyuan 030024;China
Abstract:At present several immune models is in the lack of data clustering.On the base of the aiNet Algeria,I proposed a new clustering algorithm of artificial immune network based on object-controllable.A function to control the learning object is proposed and the cells memory is defined.In this algorithm the quality of immunity learning is improved by adopting the cells memory strategy and the immune network is optimized on the whole..
Keywords:artificial immune algorithm  clustering  data compression  
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