基于优化目标可调控的免疫网络算法的分析与应用
he analysis and application of artificial immune algorithm based on object-controllable
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
t 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.
田玉玲、王帆
自动化技术、自动化技术设备计算技术、计算机技术
人工免疫算法聚类数据压缩
rtificial immune algorithmclusteringdata compression
田玉玲,王帆.基于优化目标可调控的免疫网络算法的分析与应用[EB/OL].(2010-03-04)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/201003-143.点此复制
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