An Orthogonal Functional Network for Function Approximation

摘要：

In this paper, a novel orthogonal functional network is proposed, it is a recently introduced extensive of functional networks. A learning algorithm of orthogonal functional network is proposed, the learning of functional parameters use Lagrange multipliers by means of auxiliary function and solving a system of linear equations obtain parameters. An experiment in approximating functions is given. The results show that the learning algorithm presented in the paper has excellent performance in approximation error.

关键词： functional network orthogonal functional network functional parameters learning algorithm function approximation

作者: Yongquan Zhou Xueyan Lu Zhucheng Xie Bai Liu

作者单位: College of Mathematics and Computer Science Guangxi University for Nationalities Nanning, Guangxi 530006, CHINA

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 2253-2257

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）