搜索资源列表
Polynomial
- 径向基网络对Polynomial函数的逼近和拟合-Radial basis function networks Polynomial Approximation and fitting
NeuralNetwork_RBF
- RBF神经网络拟合 模式识别（径向基神经网络用于模式识别和函数拟合，陆振波）-RBF neural network pattern recognition fit (radial basis function neural networks for pattern recognition and function fitting, Lu Zhenbo)
1
- 使用newrb函数创建一个径向基网络实现函数拟合-To use newrb function to create a radial basis function network function fitting
neural-network
- 利用径向基函数神经网络，完成ECG信号的非线性拟合，进而提取出胎儿心电信号-Radial basis function neural network to complete the non-linear fitting of the ECG signal, and then extract the fetal ECG
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!
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
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.
kmeans1
- k均值聚类优化径向基网络中心，遗传算法优化权值，然后用网络进行函数拟合，真实可用-k means clustering for optimizing the center of RBF,GA is used for optimizing the weights.
radbasexamples
- 神经网络中径向基函数RBF用于曲线拟合。这是一个应用RBF的具体例子。-Neural networks of radial basis function RBF for curve fitting. This is a concrete example of an application of RBF.
radbasexamples3
- 神经网络中径向基函数RBF用于曲线拟合。这是另一个应用RBF的具体例子。-Neural networks of radial basis function RBF for curve fitting. This is a concrete example of another application RBF.
basis-function
- 在径向基函数拟合、径向基函数神经网络和小波神经网络中的几种常用的基函数。包括高斯基函数、逆二次基函数、小波基函数等。-Several basis functions in radial basis function fitting, RBF neural network and wavelet neural networks. Including Gauss function, inverse quadratic basis functions, wavelet function and so
CHENGXU2
- rbf神经网络函数拟合。径向基函数，由样本选出固定中心值和delta-RBF neural network function fitting.Radial basis function (RBF), fixed center value chosen by the sample and the delta
RBF
- 使用RBF（径向基函数）神经网络进行函数拟合-Function fitting using RBF (radial basis function) neural network
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)
BP,RBF
- BP神经网络作为一种前馈性的神经网络，RBF神经网络由于其独特的联想记忆功能，常常用来用于识别和优化计算方问题上。分别对这两种算法用于对逼近非线性函数进行编程，观察其拟合情况后，用其他未训练的样本数据进行泛化能力分析。(BP neural network is a feed-forward neural network. RBF neural network is often used to identify and optimize the computation problem due to
RBF拟合
- 用径向基神经网络拟合一个函数关系。熟悉用神经网络完成拟合的过程(Fitting a function relationship with RBF neural network)
RBFchapter7
- RBF应用于非线性回归，其中chapter7.1.m为严格(Exact)径向基网络来实现非线性的函数回归chapter7.2.m为RBF网络对同一函数拟合(The application of RBF in nonlinear regression)
RBF网络的回归-非线性函数回归的实现
- RBF网络的回归-非线性函数回归的实现 注意： chapter7.1.m为严格(Exact)径向基网络来实现非线性的函数回归 chapter7.2.m为RBF网络对同一函数拟合