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rbf2
- antenna beamforming using RBF
SVR
- 在线向量回归分析，有包涵一个例子和内定函数等-On-line vector regression analysis, there is an example of indulgence and unofficially functions, etc.
RBFslidingmode
- 基于RBF神经网络的等效滑模控制 很详细 大家可以参考程序 把里面的模型改改 希望对大家有帮助-the code of RBF sliding mode
adaptiveRBFslidingmode
- 基于RBF网络上界自适应学习的滑模控制 很详细的程序 希望对大家有帮助-the code of RBF sliding mode
fuzzyslidingmode
- 模糊滑模控制 很详细的程序 希望对大家有帮助 大家可以参考一下-the code of RBF sliding mode
GA-bp
- 基于遗传算法的bp神经网络优化程序，经测试好用，有很好的应用价值-Bp based on genetic algorithm neural network optimization program, tested easy to use, there is a good value
main
- 本算法用matalab语言编写，实现了在DCT 域内应用RBF 神经网络检测图像水印-This algorithm with matalab language, the DCT domain RBF neural network application image watermark detection
dataplot
- code for watching matlab rbf neural net
RegressionNearestneighbor
- RBF Regression Nearest Neighbour
fuzzynet
- 模糊RBF网络逼近和混合Pi-Sigma神经网络逼近-Fuzzy RBF and Pi-Sigma Approaching
chap5_1
- 径向基函数模拟了人脑中局部调整，因此，RBF神经网络是一种局部神经网络。-Radial basis function to simulate the human brain partial adjustment, therefore, RBF neural network is a local neural networks.
chap5_2s
- 将切换函数作为RBF网络的输入，利用神经网络的功能，实现了滑模控制。-Will be switched to function as the RBF network input, using neural network function, the sliding mode control to achieve.
rbf_Kmeans
- matlab 与rbf神经网络设计，希望多多支持哦！-matlab and rbf neural network design and hope the generous support of Oh!
CHAPTER1
- 基于RBF神经网络辨识的单神经元PID模型参考自适应控制 -Based on RBF Neural Network Identification of single neuron PID model reference adaptive control based on RBF Neural Network Identification of single neuron PID model reference adaptive control
rbfapproximation
- rbf neural network approximation
RBFpid
- 基于matlab编程RBF网络监督PID控制程序-Matlab Programming Based on RBF Network Supervised PID Control Program
pre_BRF
- 一种基于RBF神经网络的预测程序。很简单，很好用。-RBF neural network based forecasting process. Is very simple, very good use.
NeuralControl
- 基于RBF神经网络的控制算法,采用1－3－1结构-NeuralControl
ref
- 基于RBF网络的传感器校正和补偿系统研究与实现-RBF network based sensor calibration and compensation system for Research and Implementation of，
RBF1
- Diabetic Classification by RBF