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这是《数据挖掘原理与应用—SQL Server 2008数据库》的随书SQL语句、源代码和Excel范例文件,基于DMX,代码主要包括对SQL Server 2008和Excel 2007中已经集成好的数据挖掘算法的应用, 如贝叶斯聚类、决策树、时序、聚类、序列聚类、关联规则、神经网络、逻辑回归、OLAP立方体的等算法,具有极高的使用价值。-This is the " Principles and Applications of data mining-SQL Server 2008 d
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RBF神经网络用于分类与回归,非常好的一个例子,可以下载参考一下-RBF neural network for classification and regression, and a very good example, you can download reference
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最新的SVM源码,用于数据分类或回归,效果优于神经网网络。C的源代码,请尽量在Linux或者Unix下编译。
-The latest source of SVM for data classification or regression, better than the neural network network. C source code, please try to compile under Linux or Unix.
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RBF神经网络用于分类与回归,文件说明:1、NeurallNetwork_RBF_Classification.m
-RBF neural network for classification and regression, the document describes: 1, NeurallNetwork_RBF_Classification.m
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SVM神经网络的回归预测分析---上证指数开盘指数预测 ,利用回归预测分析最佳的参数进行SVM网络训练-SVM Neural Network Regression analysis--- The Shanghai Composite Index opened index forecast, Regression analysis of the best parameters for SVM network training
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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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支持向量机和BP神经网络都可以用来做非线性回归拟合,但它们的原理是不相同的,支持向量机基于结构风险最小化理论,普遍认为其泛化能力要比神经网络的强。大量仿真证实,支持向量机的泛化能力强于BP网络,而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合-Support vector machines and BP neural network can be used for non-linear regression f
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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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该文件是用RBF神经网络做回归的,可以对非线性做回归,经过了测试可以使用的-This file is used to make the return of RBF neural network, you can do non-linear regression, have been tested can be used
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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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有导师学习神经网络的回归拟合-基于近红外光谱的辛烷值预测-Learning regression neural network fit- based on near-infrared spectroscopy octane forecast
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Elman神经网络:Elman网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的, 它是一种典型的局部回归网络( global feed for ward l ocal recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的前向神经网络。Elman网络具有与多层前向网络相似的多层结构。它的主要结构是前馈连接, 包括输入层、 隐含层、 输出层, 其连接权可以进行学习修正 反馈连接由一组“结构 ” 单元构成,用来记忆前一时刻的输出值, 其连接权值是固
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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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matlab 实现线性回归和神经网络,该文件夹包含两个代码-
Matlab achieve linear regression and neural network, the folder contains two code
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matlab实现文本分类,内含两个分类器,主要采用线性回归和神经网络-Matlab achieve text classification, containing two classifiers, mainly using linear regression and neural network
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多分类学习及神经网络,机器学习相关,基于matlab计算-ex3.m- Octave scr ipt that will help step you through part 1
ex3 nn.m- Octave scr ipt that will help step you through part 2
ex3data1.mat- Training set of hand-written digits
ex3weights.mat- Initial weights for the
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数据预处理,将原始数据进行归一化,SVM神经网络的回归预测分析上证指数开盘指数预测 -Data preprocessing, the raw data is normalized, the SVM regression analysis to predict the Shanghai Composite Index opened Neural Network Index Forecast
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包括主成分分析、因子分析、贝叶斯分析,BP神经网络用于函数拟合与模式识别,最小二乘回归分析算法。- Including principal component analysis, factor analysis, Bayesian analysis, BP neural network function fitting and pattern recognition, Least-squares regression analysis algorithm.
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基于神经网络回归分析算法-Neural network regression analysis
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RBF神经网络的回归,实例为非线性函数拟合。(RBF neural network regression, nonlinear function fitting)
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