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chapter8
- chapter8_1.m为使用交叉验证的GRNN神经网络预测程序 chapter8_2.m为BP和GRNN效果比较程序-chapter8_1.m for the GRNN neural network prediction program using cross-validation chapter8_2.m for BP and GRNN effect of the program
GRNN
- BP 用于预测、模式识别、函数拟合、综合评价等领域-Used to predict the pattern recognition, function approximation, the comprehensive evaluation
SIFT_GRNN
- SIFT算法结合GRNN神经网络实现立体视频的图像颜色校正-SIFT algorithm combined with GRNN neural network algorithm for stereo video image color correction
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.
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
grnn1
- grnn广义回归神经网络，主要用于函数逼近。此程序完成使用grnn对未知模型的逼近及测试-The GRNN generalized regression neural network for function approximation. This process is complete approximation of the use grnn unknown model and testing
GRNN
- GNNN数据预测是基于广义回归神经网络货运预测，神经网络案例分析里的例程-GNNN data prediction- based on generalized regression neural network cargo forecasts, neural network case study in the routine
feeder-load-balancing
- Feeder load balancing using GRNN ( general regression neural network )
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"
GRNN-and-PNN
- 有导师学习神经网络的分类——,实现鸢尾花种类识别功能-There tutor learning neural network classification- to achieve iris species recognition
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
- 这是广义回归神经网络预测的一个算法程序，对求解具有很大意义-This is a general regression neural network prediction of an algorithm for solving the great significance
chapter8
- GRNN网络的预测----基于广义回归神经网络的货运量预测-GRNN network---- forecast based on generalized regression neural network cargo forecasts
Day
- 。实验结果表明，该系统是安全系统中一个有效的说话人识别方法。在说话人识别中，使用BPNN和GRNN两种方法的人工神经网络在测试系统中被实施和-a good one
grnn
- 广义神经网络在预测中有广泛的应用，参数设置简单，值得学习。-Generalized neural network is widely used in the forecast, the parameter setting is simple, it is worth learning.
GRNNpredition
- GRNN的数据预测-基于广义回归神经网络货运量预测-GRNN data prediction- based on generalized regression neural network cargo forecasts
GRNNchangjianzuhesuanfa
- 做课题时搜集的广义回归神经网络（GRNN）的常见组合算法文献-The common GRNN combining algorithm
chapter25
- 该代码为基于FCM-GRNN的聚类算法，MATLAB中处理神经网络类型-The code for the clustering algorithm based on the FCM-GRNN neural network types MATLAB processing
GRNN_PNN
- 将训练集与测试集数据进行归一化； 建立GRNN或PNN神经网络； 利用建立好的神经网络对测试集中的26个乳腺组织样本的类型进行预测； 计算预测正确率（不必计算每类的正确率，只需计算正常或者病变两类的正确率，即只要预测结果与真实值属于同一大类，则认为是正确，否则认为预测错误）-The training set and test data set is normalized Establish GRNN or PNN neural network The use of wel