搜索资源列表
svm
- SVM平台，操作简单、易于使用的通用SVM 软件包，可以解决分类问题（包括C- SVC、n - SVC ）、回归问题（包括e - SVR、n - SVR ）以及分布估计（one-class-SVM ）等问题，提供了线性、多项式、径向基和S 形函数四种常用的核函数供选择。-SVM platform is a simple, easy to use, versatile SVM software package can solve classification problems (including
RBF--customer-segmentation
- 基于径向基神经网络的客户分类源代码 基于径向基神经网络的客户分类源代码-RBF neural network based customer segmentation source code
RBFregression
- 径向基神经网络来实现非线性的函数回归，详细讲解可看<<MATLAB神经网络30个案例分析>>这本书-RBF neural networks to achieve nonlinear regression function, explain in detail to see MATLAB neural network 30 case studies in this book
bemd
- 二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快。-Two-dimensional empirical mode decomposition, using morphology for extreme points, radial basis function neural network fitting, faster.
mptestall3
- 基于径向基函数的神经网络训练方法,数据源于爬取网络彩票数据，作为测试-Based on radial basis function neural network training methods, data from crawling lottery data networks, as a test
important2
- 基于聚类的径向基神经网络的设计算法，采用的是K均值聚类。实现函数拟合！-The design algorithm of radial basis function neural network based on clustering, using the K mean clustering. Realize the function fitting!
rbf
- 利用径向基函数神经网络求解非线性函数逼近问题。-Using radial basis function (RBF) neural network to solve nonlinear function approximation problem.
RBF
- 适用于径向基网络初学者,是一个关于逼近hermit函数的源程序-applied to the new learner of RBF
running-radial-
- 基于径向基神经网络的设备运行状态新信息加权预测模型研究-New Information Weighted prediction model based devices running radial basis function neural networks
exRBFNN
- 用于初学者学习径向基函数神经网络，可以了解径向基函数神经网络的预测程序。对径向基函数神经网络有一个大体的了解。-For beginners to learn the radial basis function neural network prediction program can understand radial basis function neural network. Radial basis function neural network has a general underst
RBF_DE
- RBF配点求解微分方程是一类新方法，程序给出了RBF（采用的径向基函数是MQ函数）求解一维微分方程实例。-RBF (Multi-quadric function) method to solve the one dimentional differential equation.
Neural-network-toolbox-function
- Matlab神经网络工具箱函数涉及的网络模型有，感知机网络、线性神经网络、BP神经网络、径向基神经网络、自组织神经网络、学习向量量化神经网络、Elman神经网络、Hopfield神经网络、自适应滤波和控制系统网络等。-Matlab neural network toolbox function involving network model have a perceptron and linear neural network, BP neural network, RBF neural net
gaosijihanshushejifangzhen
- 把高斯基函数用matlab实现，方便以后对其的应用，可以应用到高斯径向基函数神经网络中,另外附加一份matlab中画图语句的指令说明-The Gaussian function using matlab facilitate its future application, can be applied to a Gaussian radial basis function neural network
(RBF)-neural-network-forecasting
- 使用径向基（RBF）神经网络实现混沌预测的一个例子。-Use of radial basis (RBF) neural network forecasting an example of chaos.
PRIM
- 实现无网格法中径向基形函数，基于《无网格法理论及程序设计》-Achieved Meshfree radial basis function
rbf
- 分类器，径向基函数实现，使用matlab,待分类函数点可自行修改。-RBF classificaiton written in matlab
matlab
- 给出了偏微分方程的径向基函数配点法的数值解法，进行了数值模拟，并且给出了图形-The numerical solution of the radial basis function with partial differential equation method, numerical simulation, and gives the graphic
libsvm-3.18
- 使用支持向量机对数据进行非线性分类，通过修改核函数径向基函数的参数来做模型-Using support vector machine (SVM) to nonlinear classification of data, by modifying the parameter of kernel function of radial basis function model
asdfgh
- 实现数字识别,径向基神经网络手写体数字的识别准确率高-Digital recognition, RBF neural network handwritten digital recognition accuracy is high
rbf
- 建立一个径向基神经网络，对非线性函数y=sqrt(x)进行逼近，并作出网络的逼近误差-The establishment of a radial basis function neural network, the nonlinear function y = sqrt (x) to approximate, and make the network approximation error