搜索资源列表
MPS
- 使用用径向基函数特解方法求解偏微分方程，这是一种转化的思想，只适合特定的方程(The partial differential equation is solved by the MPS of radial basis function)
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)
Schrdgr2D
- 利用Kansas方法求解二维薛定谔方程，时间方向利用有限差分方法，其中对非线性项进行了线性处理(This program solves Optoelectronic eq. with MultiQuadric ( MQ(r) = sqrt(r^2 + c^2) where r is the Euclidean distance of nodes) Radial Basis Function (RBF) and Theta method)
thin plate spline
- 利用径向基函数中经典的薄板样条方法进行数值仿真，程序的难点在于薄板样条基函数的构造(The numerical simulation of the classical thin plate spline method in radial basis function is presented. The difficulty of the program is the construction of the thin plate spline basis functions)
三RBF (1)
- 高斯径向基函数神经网络RBFmatlab代码，提高非线性输入处理能力(Gauss radial basis function neural network RBFmatlab code to improve nonlinear input processing capability)
PNN网络代码
- 概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出，是径向基网络的一个分支，属于前馈网络的一种。它具有如下优点：学习过程简单、训练速度快；分类更准确，容错性好等。从本质上说，它属于一种有监督的网络分类器，基于贝叶斯最小风险准则。(Probabilistic neural network was first proposed by Dr. D.F.Speeht in 1989. It is a branch of radial
RBF
- 径向基函数 (Radial Basis Function 简称 RBF)，最常用的径向基函数是高斯核函数(RBF(Radial Basis Function))
rbf
- 自己编写RBF神经网络程序，RBF神经网络隐层采用标准Gaussian径向基函数，输出层采用线性激活函数，其中数据中心、扩展常数和输出权值均用梯度法求解，它们的学习率均为0.001。其中隐节点数选为10，初始输出权值取[-0.1，0.1]内的随机值，初始数据中心取[-1，1]内的随机值，初始扩展常数取[0.1，0.3]内的随机值，输入采用[0 1]的随机阶跃输入(Write your own RBF neural network, RBF neural network hidden layer
yiweijingxiang
- 本程序采用有限差分法，能够实现油井在不同产量，不同生产时间条件下，在地层一维径向渗流压力分布(One dimensional radial seepage pressure distribution in stratum is realized)
rbfpid
- 基于RBF径向基网络的pid参数整定s函数程序(PID parameter tuning s function program based on RBF radial basis function network)
径向基插值
- matlab处理图像，进行径向基插值，并输出处理结果(Matlab processing images, radial basis interpolation, and output processing results)
svm_light_windows32
- SVM Light工具箱 Matlab接口，已经编译好，可直接用(SVMlight, by Joachims, is one of the most widely used SVM classification and regression package. It has a fast optimization algorithm, can be applied to very large datasets, and has a very efficient implementation of
jingxiang
- 严格(Exact)径向基网络来实现非线性的函数回归(Nonlinear function regression for strict (Exact) radial basis function networks)
径向基
- 在神经网络中使用径向基算法进行对函数拟合(Radial basis function fitting)
shearlet_toolbox
- This function generates the x and y vectors that contain % the i,j coordinates to extract radial slices % % Input: n is the order of the block to be used % % Outputs: x1,y1 are the i,j values that correspond to % the radial slices from t
etr20652
- In this letter, we propose a new compression method for a high dimensional support vector machine (SVM). We used singular value decomposition (SVD) to compress the norm part of a radial basis function SVM. By deleting the least significant vector
neural-net-rbf
- programs of radial basis function in MATLAB
svm
- 支持向量机由Vapnik首先提出，像多层感知器网络和径向基函数网络一样，支持向量机可用于模式分类和非线性回归，该程序主要实现svm的分类和回归功能。(SVM was first proposed by Vapnik. Like multilayer sensor network and radial basis function network, SVM can be used for pattern classification and non-linear regression. The p
RBFduibi1
- 径向基(RBF)神经网络算法编程实现，MATLAB语言(Programming implementation of radial basis (RBF) neural network algorithm, MATLAB language)
1Drdf
- 一种颗粒的径向分布函数，即在特定距离发现另一颗粒的概率(The radial distribution function of one type of particles, that is, the probability of finding another particle at a specific distance)