Description: 用MATLAB做的插值与拟合的程序及课件PPT。适合初学者。-MATLAB do interpolation and fitting procedures and courseware PPT. For beginners. Platform: |
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Author:韩义 |
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Description: 这是一个博士编写的关于RBF插值的三维重建的源程序,有需求的人赶紧下!-This is a prepared by Dr. RBF interpolation on the three-dimensional reconstruction of the source, there is a demand for people who hastened to the next! Platform: |
Size: 504832 |
Author:黄淼 |
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Description: Radial basis functions are used for function approximation and interpolation. This package supports two popular classes of rbf: Gaussian and Polyharmonic Splines (of which the Thin Plate Spline is a subclass).
The package also calculates line integrals between two points.
For more information, see blog.nutaksas.com for academic papers.
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Size: 10240 |
Author:ssss |
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Description: 用于函数逼近的径向基逼近和差值,是一个基础函数,包括高斯及二项式两种,可拓展到多个应用领域-Radial basis functions are use for function approximation and interpolation. This package supports two popular classes of rbf: Gaussian and Polyharmonic Splines (of which the Thin Plate Spline is a subclass).
The package also calculates line integrals between two points. Platform: |
Size: 9216 |
Author:辛芳芳 |
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Description: In this paper, we propose a novel algorithm for image inpainting based on compactly supported
radial basis functions (CSRBF) interpolation. The algorithm converts 2D image inpainting problem
into implict surface reconstruction problem from 3D points set. Firstly, we construct the implicit
surface for approximating the points set which convert from damaged image by using radial basis
functions (RBF), and then resample from the constructed surface can evaluate the pixels’ value of
damaged or removed portion on the image. Using compactly supported radial basis functions, the
matrix of corresponding system of the linear algebraic equations is spare and bounded. So it can
decrease the computational complexity of RBF algorithm. Experiments show that good results are
obtained by using the proposed algorithm. -In this paper, we propose a novel algorithm for image inpainting based on compactly supported
radial basis functions (CSRBF) interpolation. The algorithm converts 2D image inpainting problem
into implict surface reconstruction problem from 3D points set. Firstly, we construct the implicit
surface for approximating the points set which convert from damaged image by using radial basis
functions (RBF), and then resample from the constructed surface can evaluate the pixels’ value of
damaged or removed portion on the image. Using compactly supported radial basis functions, the
matrix of corresponding system of the linear algebraic equations is spare and bounded. So it can
decrease the computational complexity of RBF algorithm. Experiments show that good results are
obtained by using the proposed algorithm. Platform: |
Size: 274432 |
Author:payal |
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Description: 径向基函数神经网络Matlab源代码,非常实用-Radial basis functions are use for function approximation and interpolation. This package supports two popular classes of rbf: Gaussian and Polyharmonic Splines (of which the Thin Plate Spline is a subclass).
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Size: 19456 |
Author:陈明 |
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Description: RBF方法对一维函数进行插值实例,选用的函数为MQ函数,可与高阶多项式插值对比,说明RBF方法克服了龙格振荡问题。-RBF method for one dimentional function interpolation, where the Runge oscillation is disappear. Platform: |
Size: 1024 |
Author:张 |
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Description: 包含各种常见的MATLAB程序,如图像去噪、图像识别、RBF神经网络的训练,三次样条插值、求解线性方程组等几十个程序。-MATLAB contains a variety of common procedures, such as image denoising, image recognition, training RBF neural networks, cubic spline interpolation, linear equations, such as dozens program Platform: |
Size: 5853184 |
Author:周 |
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Description: 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) once the training is successful, as long as the right to store coefficient matrix, is applicable data interpolation 4) when the data is not full-time, can be used for data completion. Platform: |
Size: 79872 |
Author:三苏 |
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Description: 运用c++语言,实现了BP网络和RBF网络的数据以及空间插值功能-C++ use language to achieve a data BP network and RBF network and the spatial interpolation function Platform: |
Size: 106496 |
Author:蓝田玉 |
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Description: Radial Basis Function interpolation-RBF was originally developed for scattered multivariate data interpolation (Hardy 1971). It uses
a series of basis functions that are symmetric and centred at each sampling point. Radial basis
functions are a special class of functions with their main feature being that their response decreases
(or increases) monotonically with distance a central point (Queipo et al. 2005). The centre, the
distance scale, and the precise shape of the radial function are parameters of the model. RBF
interpolation can be expressed as follows (Jin et al. 2002): Platform: |
Size: 34816 |
Author:wyl |
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Description: 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) Platform: |
Size: 118784 |
Author:天涯行客
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Description: 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.
RBF interpolation uses a series of basis functions that are symmetric and centered at each sampling point. Radial basis functions are a special class of functions with their main feature being that their response decreases (or increases) monotonically with distance from a central point. The center, the distance scale, and the precise shape are parameters of the model.) Platform: |
Size: 33792 |
Author:baidudu |
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Description: 几种常用代理模型算法,包括Kriging,RBF,样条插值模型。能够根据样本数据拟合高精度代理模型,并提供了几个算例(Several commonly used proxy model algorithms, including Kriging,RBF, spline interpolation model.According to the sample data, the high precision proxy model can be fitted, and several examples are provided) Platform: |
Size: 4872192 |
Author:fsj1111 |
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