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SVM-regression
- 对于大盘指数的有效预测可以为从整体上观测股市的变化提供强有力的信息,所以对于上证指数的预测具有很大意义。本代码用Matlab对1990.12.20-2009.8.19-每天的开盘指数进行支持向量机回归分析,拟合效果较好。-For effectively predict the market index can provide a strong message to the observed changes in the stock market as a whole, so the foreca
SVM
- 基于SVM的回归预测——上证指数开盘指数预测,包括数据的提取和预处理,选择回归预测分析最佳的SVM参数c&g,利用回归预测分析最佳的参数进行SVM网络训练-SVM-Based Forecasting
svm
- 在机器学习领域,支持向量机SVM(Support Vector Machine)是一个有监督的学习模型,通常用来进行模式识别、分类、以及回归分析-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, and
svm
- 支持向量机python实现算法,回归、分类、预测-surpport vector machion
SVM_REGRESSION
- 这段时间自己在学机器学习相关的内容,其中用到了SVM回归。我采用的libSVM.网上论坛和博客已经有其相当详细的介绍,但是操作步骤比较多,且要下载的文件也比较多。之后我把应该要具有的svm文件整理在一个文件夹中,并把相关教程,和自己的操作经验一并打包在此分享。有些文件是自己编写的,用来转换libsvm数据格式,其他的都在相应的文件夹下可以找到,我自己的实验数据和图也在其中。记住,gridregression.py使用时要内部改路径。我的是64位系统 - This time I
svm
- SVM神经网络的回归预测分析 -上证指数开盘指数预测 -Regression SVM neural network predictive analysis - Shanghai Composite Index opened Index Forecast
svm
- 利用林智仁教授的libsvm工具箱实现支持向量回归预测的例子,包括训练及预测过程-Professor Lin Zhiren use of libsvm toolbox support vector regression prediction examples, including training and prediction process
vector-svm-algorithm
- 支持向量机(SVM)是与相关的学习算法有关的监督学习模型,可以分析数据,识别模式,用于分类和回归分析。-Support Vector Machine (SVM) is associated with learning algorithm related supervised learning model, you can analyze data, identify patterns, used for classification and regression analysis.
svm_series
- 用python实现的SVM回归预测的程序,通过Anaconda实现对机器学习包sklearn的调用。-SVM regression using python to achieve predictable procedures, machine learning package sklearn call by Anaconda.
SVM
- 支持向量机神经网络的信息粒化时序回归预测代码案列,代码易于修改-Support Vector Machines Neural Network Information granulated series regression predictive code text column, easy to modify the code
svm-regression-to-predicte
- 案例14 SVM神经网络的回归预测分析 -上证开盘指数预测-Case 14 SVM regression neural network predictive analysis - Shanghai Composite Index opened forecast
svm-confidence-interval
- lssvm 最小二乘支持向量机回归模型置信区间预测, 简单易用,易懂易学-least squares support vector machine
svm-regression
- 本程序是实现遗传支持向量机(SVM)的回归拟合,以混凝土的抗压测试为例,具有很好的学习价值。-This program is a genetic support vector machine (SVM) regression fit to the concrete compression test, for example, having a great learning value.
SVMcgForRegress
- SVM回归参数寻优函数,SVMCGFORREGSRE-SVM u56DE u5F52 u53C2 u6570 u5BFB u4F18 u51FD u6570 uFF0CSVMCGFORREGSRESS
SVM(matlab)
- matlab平台下的支持向量机算法工具箱,支持分类和回归(support vector machine)
libsvm-3.21
- SVM(Support Vector Machine)指的是支持向量机,是常见的一种判别方法。在机器学习领域,是一个有监督的学习模型,通常用来进行模式识别、分类以及回归分析。(SVM (Support Vector Machine) refers to the support vector machine, is a common method of discrimination. In the field of machine learning, it is a supervised lear
lssvm
- 最小二乘支持向量机回归,四个插入数据分别为训练输入、训练输出、测试输入、测试输出。工具包+程序(Least squares support vector regression (SVM), the four inserted data are training input, training output, test input and test output)
分类器比较
- 支持向量机,线性判别分析,回归树,主成分判别分析,分类回归树,K临近算法(SVMLinear discriminant analysis, regression tree, principal component discriminant analysis, classification regression tree, K proximity algorithm)
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机,功能(实现回归预测和分类)(least squares support vector machine)
svr
- svm回归 用来预测回归的参数没有调 结果不好(svm bbbdhua dsjffb ervg dr fer)