Weighted approximation using neural network in terms of fractional modulus of smoothness of fractional derivative

被引：0

作者：

Ibrahim, Amenah Hassan ^{[1
]}

Bhaya, Eman Samir ^{[2
]}

Hessen, Eman Ali ^{[1
]}

机构：

[1] AL Mustansiriyah Univ, Coll Sci, Dept Math, Baghdad, Iraq

[2] Univ Babylon, Coll Educ Pure Sci, Dept Math, Babylon, Iraq

来源：

INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS | 2022年 / 13卷 / 01期

关键词：

Ditzain-Totik modulus; quasi-norm; weighted approximation;

D O I：

10.22075/ijnaa.2022.6098

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

We introduce direct theorems for universal weighted approximation. This approximation in terms of weighted Ditzain-Totik modulus of smoothness for the fractional derivative of functions in L-p (quasi-normed spaces).

引用

页码：3381 / 3394

页数：14

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