搜索资源列表
myworkonnnet
- 多层感知器(MLP)(BP算法训练)、径向基函数网络(RBF网络)、支持向量机(SVM)对2D Mexican Hat、Gabor、Friedman 以及Polynomial等几种函数数据集进行回归和预测-multilayer perceptron (MLP) (BP algorithm training), RBF network (RBF), Support Vector Machine (SVM) to 2D Mexican Hat, Gabor, Friedman Polynomial
rbfwxl
- 用径向基函数实现的信道自适应均衡，一个比较简单的例程-Radial Basis Functions Channel adaptive equalization, a relatively simple routines
rbnnet_166
- 网上下的一个关于径向基函数网络应用实例，希望大家能有用-the Internet on an RBF network application examples and I hope that we can be useful
RBFcollocRO
- 本代码为基于matlab的求解偏微分方程的利用径向基函数的无网格方法的源码-based on the Matlab code for the solution of partial differential equations using Radial Basis Functions non-grid method FOSS
wavelet_basis_construction
- 此小程序用于构造小波基 并采用双尺度方程求解小波基函数-this small procedure for the construction of small Porgy and double standards equation wavelet function
wire_scattering
- 矩量法计算直天线电流及其方向图，采用脉冲函数为基函数-Moment Method straight antenna and the direction of current plans, the use of pulse function as the base function
GFClass
- 这是一个径向基函数网络MATLAB的源程序,用于两类线性不可分的数据的分类-This is a RBFN MATLAB source for the two types of non-linear data classification
MoM_wiregrid
- 用矩量法计算细线天线的散射场，使用了脉冲基函数．
plss
- PLSS基于样条基函数变换的偏最小二乘法
rbf2
- 径向基函数的matlab原程序，并附有实例以及相关学习文档-Radial basis function matlab original program, together with examples and documentation related to learning
xiaoboji
- 采用低通性质的平滑函数为高斯函数，根据他的一阶导数、二阶导数作为小波基函数进行突变点分析。 -The use of low-pass nature of the smoothing function for the Gaussian function, according to his first derivative, second derivative wavelet basis function as a point mutation analysis.
wavelet_function
- 用matlab采用双尺度方程求解小波基函数的方法 构造小波基-wavelet_function
erb1
- 利用网络实现函数逼近 使用的主要函数如下： NEWRB——设计径向基函数神经网络 SIM——对径向基函数网络进行仿真-Function approximation using the Internet to achieve the main function is as follows: NEWRB- the design of radial basis function neural network SIM- for radial basis function network
MyRbfNet
- MATLAB径向基函数神经网络模型计算程序源码-MATLAB radial basis function neural network model program source
rbfyaochenghu
- 径向基函数（RBF）神经网络在分类中的应用-Radial Basis Function (RBF) neural network classification
3d
- 基于径向基函数与B样条的散乱数据拟合方法，适合实现三维重现。-Based on Radial Basis Functions and B-spline of scattered data fitting method for achieving three-dimensional reproducibility.
RBF
- 径向基函数神经网络示例程序1 径向基函数神经网络示例程序2(An example program of radial basis function neural network)
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.
第7章 径向基函数网络
- MATLAB学习资料，径向基函数网络，带一组测试数据。(MATLAB learning material, radial basis function network, with a set of test data.)