An Orthogonal Functional Network for Function Approximation

Author

Zhou, Yongquan ; Lu, Xueyan ; Xie, Zhucheng ; Liu, Bai

Author_Institution

Coll. of Math. & Comput. Sci., Guangxi Univ. for Nat., Nanning

Volume

2

fYear

2008

fDate

20-22 Oct. 2008

Firstpage

962

Lastpage

966

Abstract

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.

Keywords

function approximation; learning (artificial intelligence); Lagrange multipliers; approximation error; function approximation; linear equations; orthogonal functional network; Approximation algorithms; Approximation error; Computer networks; Equations; Function approximation; Intelligent networks; Neural networks; Neurons; Polynomials; Predictive models; function approximation.; functional network; functional parameters; learning algorithm; orthogonal functional network;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on

Conference_Location

Hunan

Print_ISBN

978-0-7695-3357-5

Type

conf

DOI

10.1109/ICICTA.2008.164

Filename

4659905