搜索资源列表
RBFnn
- 利用matlab语言实现的RBF神经网络建模例子，对学习RBF建模很有帮助-using Matlab language RBF neural network modeling example, to learn modeling helpful RBF
rbfnn3
- 用matlab写的三个径向基神经网络程序，分别为基于聚类的RBF，基于梯度法的RBF ，基于OLS 的RBF神经网络-using Matlab wrote three RBFNN procedures were based on the clustering of RBF, Based on the RBF gradient method, based on the OLS RBFNN
RBPNN
- 利用RBPNN径向基概率神经网络的一个例子，通过该例子可以对RBFNN有个清晰认识-use probabilistic neural network-based one example, through the examples of RBFNN a clear understanding of
cis779lab2
- 径向基神经网络程序加上应用，一个在美国的台湾人写的-RBFNN procedures and application, one in the United States written by the people of Taiwan
NeuralNetwork_RBF
- RBF 神经网络应用于模式识别 -RBFNN used pattern recognition RBFNN used pattern recognition
RBF(MATLAB)
- RBF神经网络 MATLAB源程序 结构很好 可以借鉴-RBFNN MATLAB source structure can learn from the good
RBFnerualnetwork
- RBF神经网络对非线性系统进行逼近,运行成功,还有不足之处请多多指教-RBFNN right nonlinear system is approaching, the successful operation, there are deficiencies Department asked for more information
RBFNN
- RBF神经网络 RBF神经网络-RBF neural network RBF neural network
RBFnn
- 径向基神经网络（Radial Basis Function, RBF）-RBFNN (Radial Basis Function, RBF)
RBFnn
- RBF神经网络的混合学习法，RBF现在越来越受到大家的青睐-RBF neural network hybrid learning method, RBF is increasingly favored by the U.S.
RBFNN
- RBFNN一步预测混沌序列性能程序,可以直接运行,效果不错!-RBFNN step chaotic sequence performance prediction procedures, can be directly run, good results!
RBFNN
- 七个RBF神经网络的源程序，是我收集修改总结出来的，与大家分享，欢迎讨论-Seven RBF neural network source code is modified, I summed up the collection to share with you are welcome to discuss
ORBFNN
- 高性能的RBFNN，可以用于回归，拟合和预测控制。-High-performance RBFNN, can be used to return control of fitting and forecasting.
programs-set1
- RBFNN single phase fault classification
RBFNN
- Three function for RBF neural network, using OLS,Rand and SGA function [newcenter,sigma,W,yh,rmse]=rbfols(p,t,tol) p 為輸入資料點，N×K矩陣，N是輸入資料維度，K是資料點數 t 為目標輸出值，1×K矩陣 tol 為指定容忍度或正確率 centers選定中心點，N×nc矩陣 sig
RBFNN
- 神经网络源代码，适合做识别用的同学，或着做模式分类，数据挖掘project专用-it s a algorithm for ANN
GA-RBF
- １.利用GA算法优化RBFＮＮ的各种权值； ２.利用RBFNN进行函数跟踪； 3.比较测试未用GA优化的和使用GA优化的RBFNN的结果。-1.Use GA algorithm to optimize a variety of weights in RBFNN 2. Use RBFNN to realize tracking function 3. Compare and test the results o
RBFNN
- RBF神经网络，用于系统辨识 很好的文件-RBF neural networks for system identification
rbfnn
- 用MATLAB编写的rbfnn程序，共同学习-Rbfnn programs written with MATLAB, learning together
rbfNN
- RBF网络的回归---实现非线性函数回归的实现(RBFNN realization of nonlinear function regression)