搜索资源列表
gazenew
- 基于GRNN神经网络的视线跟踪源程序。 其中网络的输入分别是瞳孔中心，半径，瞳孔中心与普洱青斑向量。-GRNN neural network-based tracking source line of sight. Network input, respectively, which is the pupil center, radius, the pupil center and Pu
grnnforexample
- 广义回归神经网络是RBF的一个扩展。但是具体怎么实现却代码很少，本代码是一个grnn很好的学习例子。-Generalized regression neural network is an extension of RBF. But how to achieve specific code but rarely, the code is a good learning example grnn.
bpelmanrbfgrnn
- 可用于bp,elman,rbf,grnn四种神经网络的预测命令-Can be used for bp, elman, rbf, grnn four types of neural network prediction order
ToolBox
- matlab图像处理工具相，使用了主成分分析，ANN，SVM等方法。-This toolBox used in the image processing(feature extraction and classification) PCA,LDA,ICA,DCT,RBF,RBE,GRNN,KNN,minimum distance,SVM, and others
GRNN
- 泛化回归神经网络GRNN(generalized regression NN)应用实例，适合学习使用。-Generalized regression neural network GRNN (generalized regression NN) application examples for learning to use.
RBF
- 本程序 是基于对货流量的预测 程序完整 采用GRNN广义神经网络-This procedure is based on a complete freight traffic forecasting process using generalized neural network GRNN
grnnpredict
- 对GRNN的进行改进，用来做预测，其中对于每一组输入向量给其一个平滑因子，预测的效果不错-Improvements on the conduct of GRNN, used for prediction, in which each set of input vectors for a smoothing factor to its forecast good results
nn
- this matlab program uses GRNN neural network tocontrol the speed of Linear induction Motor Drive, both m-file and simulink file are inclu-this is matlab program uses GRNN neural network tocontrol the speed of Linear induction Motor Drive, both m-file
GRNN
- 本算法是matlab神经网络工具箱提供的函数建立了利用GRNN和RNN分别建立各个属性及属性组合与鸢尾花种类间的识别模型。-The algorithm is matlab neural network toolbox provides functions to establish the use of GRNN and RNN were established with various attributes and attribute combinations between species o
grnn
- 调用工具箱函数的grnn程序,基于matlab-grnn program
The-data-forecasting-based-on-GRNN
- 通过matlab编程，建立了基于广义神经网络的数据预测，并通过交叉验证进行网络的训练，取得了不错的预测效果-By matlab programming，we established the data forecasting based on generalized regression neural network, and we use corss-validation to train the network,which obtains better forecasting effect.
Grnn-neural-network--Matlab
- Grnn神经网络交叉验证，matlab中可实现代码文档-Grnn nerve network cross-validation, matlab in the can be to achieve the code documentation
matlab-for-neural-network
- BPnet.m、GRNNnet、RBFnet分别为BP神经网络、GRNN神经网络、RBF神经网络用于预报模型的代码，其中给出预报的精度指标：合格率、确定性系数、均方根误差-BPnet.m, GRNNnet, RBFnet were BP neural network, GRNN neural network, RBF neural network for forecasting model code, which gives the prediction accuracy indicators:
GRNN
- 这是编好的程序[cp,zq]=grnn(data,yy) gaussian SVM，GRNN 的正确率，击中率，正确拒绝率在19个先天盲人中的为： SVM GRNN 0.68421 0.73684 0.83333 0.83333 0.42857 0.57143 解压到MATLAB的TOOLBOX文件夹里，然后刷新工具箱，在命令窗口输入：rehash toolboxcache。 然后就可以用我的那个函数了。- It is program
GRNN
- GRNN in matlab you can use this code to prediction any parameters using GR-GRNN in matlab you can use this code to prediction any parameters using GRNN
GRNN
- 基于GRNN神经网络的货运量预测matlab代码-freight volume forecast based on GRNN neural network
GRNN.P
- 为什么java调用matlab编写的GRNN算法，得到的结果，与直接在matlab下运行过一次,再clear all后，再运行的结果 不一样？ 问题2：为什么连续两次在matlab下运行GRNN的结果，与在matlab下只运行一次的结果不一样？
bp_grnn_elman[1]
- BP神经网络编程，GRNN神经网络编程程序，可直接运行，有数据例子(BP neural network programming, GRNN neural network programming procedures, can be directly run, there are data examples)
04RBF、GRNN和PNN神经网络
- 自己研究了一些关于神经网络的算法，用matlab做的一些小测试，使用的是《matlab神经网络43个案例分析》这本书，感觉还不错，分享一下。 使用每行的前4个数据预测第5个数据的值(I have studied some algorithms about neural network, and I have done some small tests with MATLAB, using the 43 case analysis of MATLAB neural network. I feel
GRNN
- It is a simple code for GRNN technique in Matlab