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
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
Shenjinwangluo
- (1) 本系统用到四种神经网络对漏电嫌疑系数进行预测,分别是BP神经网络、RBF神经网络、GRNN神经网络、Elman神经网络,通过对神经网络结构参数的设置和调试,可以得到很好的预测效果,实际值和预测值之间的误差能达到5 以内。 (2) 本系统使用matlab做GUI界面,在界面上就可以分别对这四种神经网络的结构参数进行设置,从而可以调整神经网络的结构,达到较好的预测精度。 -(1) The system used four neural network to predict the s
AlgorithmGRNN
- 这是一个GRNN神经网络模型的c语言实现,主体部分引自于《MATLAB神经网络30个案例分析》-This is a neural network model GRNN c language, the main part of the quote from " MATLAB neural network 30 Case Studies"
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:
eg8-huoyunliangjiance
- 《MATLAB神经网络30个案例分析》中的第8个例子,案例8 GRNN的数据预测-基于广义回归神经网络货运量预测。希望对大家有一定的帮助!-The MATLAB neural network analysis of 30 cases of example, 8 cases of 8 GRNN data to predict- freight volume prediction based on generalized regression neural network. Hope to have
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.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?
matlab神经网络30个案例分析程序
- 内容包括BP神经网络,遗传算法优化BP神经网络,RBF神经网络,GRNN神经网络,Hopfield神经网络,概率神经网络等。
GRNN处理时间序列
- 用广义回归神经网络预测时间序列数据的MATLAB源代码(MATLAB source code for predicting time series data using generalized regression neural network)
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)
2-GRNN_PNN_work
- GRNN和PNN神经网络对数据的拟合、训练和二者对比(Data training of GRNN and PNN and comparison of the two)
GRNN
- It is a simple code for GRNN technique in Matlab
RBF、GRNN和PNN神经网络
- 这是RBF、GRNN和PNN神经网络的matlab源代码,非常好,放心下载