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应用科学学报 ›› 2004, Vol. 22 ›› Issue (1): 81-84.

• 论文 • 上一篇    下一篇

基于免疫聚类和遗传算法的RBF网络设计方法

宫新保, 周希朗   

  1. 上海交通大学电子工程系 上海 200030
  • 收稿日期:2002-09-26 修回日期:2002-12-13 出版日期:2004-03-31 发布日期:2004-03-31
  • 作者简介:宫新保(1967-),男,山西大同人,讲师;周希朗(1952-),男,江苏徐州人,教授,博导.

A RBF Designing Method Based on Immune Clustering and Genetic Algorithm

GONG Xin-bao, ZHOU Xi-lang   

  1. Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200030, China
  • Received:2002-09-26 Revised:2002-12-13 Online:2004-03-31 Published:2004-03-31

PDF

67

被引次数

25

摘要： 基于人工免疫机制和遗传算法,提出了一种训练径向基函数(RBF)网络的混合算法.该算法采用了一种可以实现数据聚类的人工免疫机制根据输入数据集合自适应地确定RBF网络隐层中心的数量和初始位置;采用遗传算法训练RBF网络,能够使优化过程趋于全局最优.将该方法用于多用户检测问题的实验结果表明,采用这种混合算法训练的RBF网络结构精简,具有很好的抗多址干扰的性能.

关键词: 遗传算法, 多用户检测, 人工免疫聚类, 径向基函数网络

Abstract: Based on artificial immunology and genetic algorithm, a hybrid algorithm to design the RBF network is proposed. An artificial immune mechanism for data clustering is used to adaptively specify the amount and initial positions of the RBF centers according to input data set; then RBF network is then trained with genetic algorithm that makes the training process tend to global optima. The application of the algorithm in multiuser detection problems demonstrates that the RBF network trained with the algorithm is concise in structure and has good anti-MAI performance.

Key words: RBF network, multiuser detection, artificial immune clustering, genetic algorithm

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