RBF-Radial Basis Function

The method of fundamental solutions(MFS), one of the radial basis function(RBF) methods, employs the fundamental solutions to the governing differential operator as the Euclidean distance based RBF.

基本解方法属于径向基函数类方法，它使用微分算子的基本解作为基于欧氏距离的径向基函数。

Radial basis function (RBF) neural network is performed through linear combination of nonlinear basis function.

径向基函数(RBF)神经网络通过非线性基函数的线性组合执行。

The structure and features of radial basis function (RBF) network are introduced.

介绍了径向基函数(RBF)神经网络的结构和特点。