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RBF++_1.2
- 径向基RBF多维空间插值算法，用于空间散乱点曲面重建，优于多项式插值-RBF RBF multidimensional spatial interpolation algorithm for space scattered surface reconstruction, better than polynomial interpolation
pyRBFv1.0.0.tar
- 径向插值基函数，使用Python写的。有需要的人下吧。不用客气。-Radial basis function interpolation, the use of Python written. Those who are in need of it. Do not mention it.
svm(matlab)
- 一种新的函数拟合方法，在某些问题的近似程度上甚至优于径向基插值和Kriging插值方法-A new function fitting method, even better than the approximate extent of some of the issues radial basis interpolation and Kriging interpolation method
radis1
- 基于高维模型的径向基插值算法，用于求解高维模型系数，建立高维模型-Radial basis interpolation algorithm based on high dimensional model, used for solving high dimensional model coefficient, high dimensional model is established
RBF
- 径向基函数网络(RBF)特点：1)可用于任意维空间的插值；2)训练速度和插值速度较慢；3)一旦训练成功，只要存储权系数矩阵即可，适用于海量数据的插值；4)当数据不全时，可以用于数据补全。 -Radial basis function (RBF) network features: 1) can be used in any dimensional space interpolation 2) interpolation and the training speed slower 3) o
Multiquadric
- 用径向基插值空间点得到插值曲面MATLAB代码，插值曲面光顺性很好-Using radial basis interpolation space points by interpolation surface MATLAB code, and the interpolation curved surface smoothing sex is good
sc
- 读取雷达基数据，并进行网格插值，平滑等质量控制。能读出径向风速。-Reads the data of Base, and the interpolation grid
rbfinterp
- 利用径向基函数进行函数插值，例子中包括一维和二维的情况，尤其是二维，生成插值的时候尽量不用双循环(Using radial basis function interpolation, examples include one-dimensional and two-dimensional, especially two-dimensional, when interpolation, as far as possible without double loop)
RBF
- 径向基函数插值使用一系列基函数，它们在每个采样点对称且居中。径向基函数是一类特殊的函数，其主要特征是它们的响应与中心点的距离单调地减小（或增加）。中心、距离刻度和精确的形状是模型的参数。(Radial Basis Function interpolation with biharmonic, multiquadric, inverse multiquadric, thin plate spline, and Gaussian basis functions for Matlab/Octave.