ART2网络的学习速率调整及其影响  

Learning Rate Adjustment of ART2 Network and Its Function

作　　者：谌海霞[1] 

机构地区：[1]长沙理工大学电气与信息工程学院,湖南长沙410076

出　　处：《微电子学与计算机》2008年第9期147-150,共4页Microelectronics & Computer

摘　　要：首先讨论了ART2网络的常用学习规则,指出快速学习方式中隐式蕴含了在其他神经网络中常提到的学习速率,并给出了调整这种隐式学习速率的方法.通过实例说明了学习速率调整对模式漂移现象的抑制作用,并对比了不同学习速率对Iris数据集分类的影响.This paper discusses the common-used learning rules of ART2 network at first and then it points out that although there is no learning rate in these learning rules as other artificial neural networks,but it implicitly exists.The way to adjust the learning rate is suggested and the suppression to pattern drift is verified by a vector learning trial.The categoriz1ation results to Iris dataset are also compared to illustrate the function of learning rate.

关 键 词：ART2网络 快速学习 学习速率 模式漂移 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]