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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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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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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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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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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.
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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 GRNN data Forecast: Cargo Forecasts based on generalized regression neural network
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该文件是GRNN的数据预测的源代码，可用于基于广义回归神经网络的货运量预测-The file is a the GRNN data predicted source code that can be used for cargo forecast based on generalized regression neural network
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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
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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
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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中的源程序及数据-GRNN data to predict the source program and data forecast generalized regression neural network based on the amount of cargo
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《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
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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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GRNN的数据预测-基于广义回归神经网络货运量预测-GRNN data to predict- based on generalized regression neural network volume forecast
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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-GRNN the data to predict- based on generalized regression neural network cargo forecasts
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基于广义回归神经网络的货运量预测。根据货运量的影响因素的分析，确定网络输入和输出，构建GR-Freight volume forecasting based on generalized regression neural network
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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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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)
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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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基于广义回归神经网络（GRNN）的货运量预测(Prediction of freight volume based on generalized regression neural network (GRNN))
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粒子群算法优化广义回归神经网络的代码，具有很好的借鉴意义。(Particle swarm optimization (PSO) algorithm optimizes the code of generalized regression neural network, which has a good reference value.)
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