Approximation by radial bases and neural networks

被引：0
作者：
Xin Li
Charles A. Micchelli
机构：
[1] University of Nevada,Department of Mathematical Sciences
[2] State University of New York,Department of Mathematics and Statistics
[3] The University at Albany,undefined
来源：
Numerical Algorithms | 2000年 / 25卷
关键词：
approximation; radial basis functions; neural networks;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, we study approximation by radial basis functions including Gaussian, multiquadric, and thin plate spline functions, and derive order of approximation under certain conditions. Moreover, neural networks are also constructed by wavelet recovery formula and wavelet frames.
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页码：241 / 262
页数：21
相关论文
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