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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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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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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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包括回归分析和概率统计，数据模型归一化，模态振动，BP神经网络的整个训练过程。- Including regression analysis and probability and statistics, Normalized data model, modal vibration, The entire training process BP neural network.
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主要是基于mtlab的程序，关于神经网络控制，包括回归分析和概率统计。- Mainly based on the mtlab procedures, On neural network control, Including regression analysis and probability and statistics.
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处理信号的时频分析，是一种双隐层反向传播神经网络，包括AHP，因子分析，回归分析，聚类分析。- When processing a signal frequency analysis, Is a two hidden layer back propagation neural network, Including AHP, factor analysis, regression analysis, cluster analysis.
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基于神经网络回归分析算法-Neural network regression analysis
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关于神经网络控制，包括AHP，因子分析，回归分析，聚类分析，DC-DC部分采用定功率单环控制。- On neural network control, Including AHP, factor analysis, regression analysis, cluster analysis, DC-DC power single-part set-loop control.
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关于神经网络控制，最大信噪比的独立分量分析算法，可以实现模式识别领域的数据的分类及回归。- On neural network control, SNR largest independent component analysis algorithm, You can achieve data classification and regression pattern recognition.
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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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