A method for approximating one-dimensional functions

被引：8

作者：

Basios, V

Bonushkina, AY

Ivanov, VV

机构：

[1] INT SOLVAY INST PHYS & CHEM, B-1050 BRUSSELS, BELGIUM

[2] JOINT NUCL RES INST, LAB COMP TECH & AUTOMAT, DUBNA, RUSSIA

来源：

COMPUTERS & MATHEMATICS WITH APPLICATIONS | 1997年 / 34卷 / 7-8期

关键词：

function approximation; neural network; Chebyshev polynomials;

D O I：

10.1016/S0898-1221(97)00169-7

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

A nontraditional approach is presented to the approximation of a one-dimensional function defined on a discrete set of points. The method is based on the application of an artificial feed-forward neural network, which realizes expansion of the function considered in orthogonal Chebyshev polynomials and which calculates the expansion coefficients during the network training.

引用

页码：687 / 693

页数：7