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GRNN的数据预测-基于广义回归神经网络货运量预测-The data prediction GRNN- Generalized regression neural network based on volume forecast
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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
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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.
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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
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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.
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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
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广义回归神经网络GRNN用于对癫痫发作的分类，包括RBF-Generalized regression neural network GRNN for the classification of epileptic seizures, including the RBF
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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
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运用神经网络pso的算法进行极值的搜索，并且以函数例子进行了演示。-Use grnn neural network algorithms for data prediction, and the cargo as an example for a demonstration.
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GRNN神经网络，经过调试后可用，此神经网络算法比BP神经网络好-GRNN neural network, available after commissioning, this neural network algorithm better than BP neural network
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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
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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:
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基于广义回归神经网络的数据预测，使用交叉验证的GRNN神经网络预测程序，包含BP和GRNN效果比较程序。两网络用相同的数据进行训练。-Based on generalized regression neural network data prediction, using cross-validation GRNN neural network prediction program, including BP and GRNN effect comparison procedures. Two
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基于GRNN神经网络的货运量预测matlab代码-freight volume forecast based on GRNN neural network
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基于GRNN神经网络的MIV数据筛选，并画出数据筛选后的权重散点图。-Based on the GRNN neural network MIV data screening, and draw the data after the screening of the weight of the scatter plot.
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cheshi.m为使用交叉验证的GRNN神经网络预测程序
xiaoguobijiao.m为BP和GRNN效果比较程序(Cheshi.m is a cross validation GRNN neural network prediction program
Xiaoguobijiao.m is the BP and GRNN effect comparison program)
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GRNN的数据预测-基于广义回归神经网络货运量预测(Prediction of GRNN data based on generalized regression neural network for freight volume prediction)
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基于广义线性回归神经网络的预测，计算出相应的误差。(Based on the prediction of generalized linear regression neural network, the corresponding error is calculated.)
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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)
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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
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