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-On-lineELM
- 一种快速而准确的线顺序前馈神经网络学习算法,是单隐层的、带径向基函数的网络,比传统神经网络快,且精度高。-an online sequential learning algorithm for single hidden layer feedforward networks (SLFNs) with additive or radial basis function (RBF) hidden nodes in a unified framework
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
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.
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
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
- 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
Radial-basis-function
- 径向基函数是一个取值仅仅依赖于离原点距离的实值函数,也就是Φ(x)=Φ(‖x‖),或者还可以是到任意一点c的距离,c点称为中心点,也就是 Φ(x,c)=Φ(‖x-c‖)。任意一个满足Φ(x)=Φ(‖x‖)特性的函数Φ都叫做径向量函数,标准的一般使用欧氏距离,尽管其他距离函数也是可以的。一些径向函数代表性的用到近似给定的函数,这种近似可以被解释成一个简单的神经网络,径向基函数在支持向量机中也被用做核函数。-Radial basis function depends only on the valu
RAN
- 径向基函数神经网络,资源分配神经网络,可以设计出结构最精简的径向基函数神经网络-Radial basis function neural network, resource allocation, neural network, we can design the most streamlined structure of radial basis function neural network
contrast
- BP网络和径向基函数拟合非线性函数效果对比-BP network and radial basis function fitting nonlinear function contrast effect
RBFPID
- simulink高斯径向基函数神经网络的PID控制-simulink Gaussian radial basis function neural network PID control
tidu_rbf
- 本程序实现的是径向基神经网络的非线性函数函数逼近功能。-The program implementation is a nonlinear function of radial basis function neural network function approximation.
GA_RBF
- GA,即遗传算法;RBF,径向基函数神经网络。本程序介绍了通过遗传算法来优化RBF神经网络的参数值,从而达到更好的进行模式识别。-GA, namely genetic algorithms RBF, radial basis function neural networks. This procedure describes the parameters to optimize the RBF neural networks by genetic algorithms to achieve b
matlab
- MATLAB环境,利用基于径向基函数的神经网络实现曲线拟合。-MATLAB environment, the use of neural network based on radial basis functions and curve fitting.
BPaRBF
- 利用BP神经网络与RBF(径向基函数)网络对三类目标(W.zip, T.zip, B.zip)进行分类.-BP neural network and RBF (Radial Basis Function) network on three targets (W.zip, T.zip, B.zip) classification.
RBF
- RBF神经网络:rbf原理:所谓径向基函数(Radial Basis Function 简称 RBF),就是某种沿径向对称的标量函数。通常定义为空间中任一点x到某一中心xc之间欧氏距离的单调函数,可记作 k(||x-xc||),其作用往往是局部的,即当x远离xc时函数取值很小。最常用的径向基函数是高斯核函数,形式为 k(||x-xc||)=exp{- ||x-xc||^2/(2*σ)^2) } 其中xc为核函数中心,σ为函数的宽度参数,控制了函数的径向作用范围。在RBF网络中,这两个参数往往是可
RBF
- 针对一类非线性动态系统给出了一种基于RBF(径向基函数)神经网络的模型参考自适应控制算法,控制器的结构中使用RBF网络来动态的补偿系统的非线-A class of nonlinear dynamic systems presents a model reference adaptive RBF (Radial Basis Function) neural network control algorithms, structure of the controller using RBF netwo
rbfyuce
- 讲述径向基函数神经网络在各领域预测中的应用-About RBF network application in various fields Forecasting