The new approximation operators with sigmoidal functions

被引：7
|
作者：
Zhang Z. [1 ]
Liu K. [1 ]
Zhu L. [1 ]
Chen Y. [1 ]
机构：
[1] College of Mathematics, Hunan University
来源：
Journal of Applied Mathematics and Computing | 2013年 / 42卷 / 1-2期
基金：
中国国家自然科学基金;
关键词：
Approximation; Estimate of error; Quasi-interpolation; Sigmoidal function; Two neural networks weights;
D O I：
10.1007/s12190-013-0643-7
中图分类号：
学科分类号：
摘要：
The aim of this paper is to investigate approximation operators with logarithmic sigmoidal function of a class of two neural networks weights and a class of quasi-interpolation operators. Using these operators as approximation tools, the upper bounds of estimate errors are estimated for approximating continuous functions. © 2013 Korean Society for Computational and Applied Mathematics.
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页码：455 / 468
页数：13
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