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基于模糊协同进化免疫的RBF网络学习算法研究
引用本文:徐晓晖,黄剑玲.基于模糊协同进化免疫的RBF网络学习算法研究[J].计算机与现代化,2010(7):72-74.
作者姓名:徐晓晖  黄剑玲
作者单位:上饶师范学院数学与计算机科学学院,江西,上饶,334001
摘    要:提出一种模糊协同进化算法与免疫算法相结合的方法,将该方法用于优化RBF网络隐节点参数,以改进RBF网络的性能,通过仿真实验证明,该方法比传统的学习算法在网络的逼近精度和泛化能力方面得到较好的协调统一。

关 键 词:径向基神经网络  免疫算法  协同进化

Research on RBF Network Learning Method Based on Cooperative Co-evolution Immunity
XU Xiao-hui,HUANG Jian-ling.Research on RBF Network Learning Method Based on Cooperative Co-evolution Immunity[J].Computer and Modernization,2010(7):72-74.
Authors:XU Xiao-hui  HUANG Jian-ling
Affiliation:(College of Mathematics and Computer Science,Shangrao Normal College,Shangrao 334001,China)
Abstract:The paper presents a hybrid algorithm which is combined by cooperative co-evolution and immune algorithm.It is used for optimizing parameter of RBF network and improving function of RBF network.The simulation results show that comparing with the traditional learning algorithm,the network approximation accuracy and generalization ability are better coordinated and harmonized.
Keywords:RBF  immunity algorithm  cooperative co-evolution
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