![]() |
个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:英国牛津大学数学所
学位:博士
所在单位:数学科学学院
学科:计算数学
电子邮箱:wuweiw@dlut.edu.cn
扫描关注
Convergence of gradient method for Elman networks
点击次数:
论文类型:期刊论文
发表时间:2008-09-01
发表刊物:APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION
收录刊物:SCIE、EI、Scopus
卷号:29
期号:9
页面范围:1231-1238
ISSN号:0253-4827
关键字:Elman network; gradient learning algorithm; convergence; monotonicity
摘要:The gradient method for training Elman networks with a finite training sample set is considered. Monotonicity of the error function in the iteration is shown. Weak and strong convergence results are proved, indicating that the gradient of the error function goes to zero and the weight sequence goes to a fixed point, respectively. A numerical example is given to support the theoretical findings.