RBF函数逼近中的形状参数估计

A. Karageorghis, P. Tryfonos
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引用次数: 3

摘要

采用径向基函数(RBF)配置法对两变量函数进行逼近。当所使用的rbf包含形状参数时,为其确定适当的值是一个主要问题。在这项工作中,这是通过在未知量中包括形状参数的值以及近似中rbf的系数来解决的。还考虑了在近似中每个RBF都有不同的形状参数时形状参数变的情况。这两种方法都产生非线性方程组,用标准非线性求解器求解。给出了几个数值实验的结果。
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Shape parameter estimation in RBF function approximation
The radial basis function (RBF) collocation method is applied for the approximation of functions in two variables. When the RBFs employed include a shape parameter, the determination of an appropriate value for it is a major issue. In this work, this is addressed by including the value of the shape parameter in the unknowns along with the coefficients of the RBFs in the approximation. The variable shape parameter case when a different shape parameter is associated with each RBF in the approximation is also considered. Both approaches yield nonlinear systems of equations, which are solved by a standard non-linear solver. The results of several numerical experiments are presented.
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
24
审稿时长
33 weeks
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