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
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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