搜索资源列表
svm-km.rar
- 支持向量机(SVM)是数据挖掘中的一个新方法,能非常成功地处理回归问题(时间序列分析)和模式识别(分类问题、判别分析)等诸多问题,并可推广于预测和综合评价等领域,因此可应用于理科、工科和管理等多种学科。目前国际上支持向量机在理论研究和实际应用两方面都正处于飞速发展阶段。它广泛的应用于统计分类以及回归分析中. 支持向量机属于一般化线性分类器.他们也可以认为是提克洛夫规则化(Tikhonov Regularization)方法的一个特例.这族分类器的特点是他们能够同时最小化经验误差与最大化几何边缘区
svmdark
- 简单易用的支持向量机计算程序,用于模式识别和回归预测等-Easy to use computer program of support vector machines for pattern recognition and regression prediction
svr
- 用支持向量机预测水体富营养化影响条件,以及对各种条件进行多元回归预测-With support vector machine eutrophication impact conditions, as well as a variety of conditions, multivariate regression
AR.rar
- 运用自回归滑动平均模型进行预测的matlab 程序,The use of autoregressive moving average model to predict the matlab program
forcast.rar
- 销售预测的实现,包括移动平均,指数平滑,时间序列分解,自回归,The achievement of sales forecasts, including the moving average, exponential smoothing, time series decomposition, since the reunification
shuxuejianmo_5.rar
- (回归分析) 考察温度x对产量y的影响,测得下列10组数据: 求y关于x的线性回归方程,检验回归效果是否显著,并预测x=42℃时产量的估值及预测区间(置信度95 ) ,(Regression analysis) x on the output of the temperature study of the impact of y, measured the following 10 sets of data: for y on x of the linear regression
mlr
- 基于matlab的多元线性回归及其留一法预测程序包-Matlab based on the multiple linear regression and its leave-one forecast package
LinearRegression
- 用C#编写的线性回归预测算法,一个类,可以封装-Written in C# using the linear regression algorithm, a class, you can package! !
sh_SVM_regression
- 支持向量机 ,做股票预测,一元线性回归 -Support vector machines, regular activity prediction, linear regression
libsvm-3.1
- 最新的libsvm支持向量机程序,用于模式识别和回归预测,内含详细的使用方法-The latest libsvm support vector machine program for pattern recognition and regression that includes the use details
linear
- 可以实现数据的线性回归,其中Source.txt是待预测的数据. 此文本中的数据格式要求为一个矩阵,此矩阵的第一列为待预测列-Can achieve linear regression data, which is to be forecast Source.txt data. Text data format requirements for a matrix, this matrix as the first forecast to be out
SVM_SteveGunn
- 支持向量机的分类和回归算法,可用于模式识别和预测-Support vector machine classification and regression algorithms can be used for pattern recognition and prediction
all_extra28-Jul-2006
- reg_r spider工具箱,含回归预测等函数工具箱-reg_r spider toolbox, including the handover function prediction toolbox
GRNNhuoyun
- 基于广义回归神经网络的货运量预测的源代码,可以直接编译运行。并且里面有详细的代码注释。-Generalized regression neural network based on the PCF s source code, you can direct the compiler to run. And there are detailed notes of the code.
10173lsvm
- svm....回归,预测,分类,最优化-svm .... regression, forecasting, classification, optimization
RegrToolbox
- 基于多元线性回归、偏最小二乘、神经网络、卡尔漫滤波、径向基网络、主成分分析等等的程序。可用于建模和预测。-Based on multiple linear regression, partial least squares, neural networks, Carl diffuse filtering, radial basis networks, and so on principal component analysis procedure. Can be used for modelin
ORBFNN
- 高性能的RBFNN,可以用于回归,拟合和预测控制。-High-performance RBFNN, can be used to return control of fitting and forecasting.
matlabtext2
- 考察温度x对产量y的影响,测得下列10组数据:求y关于x的线性回归方程,检验回归效果是否显著,并预测x=42℃时产量的估值及预测区间(置信度95 ) 示例包含在内-X on the output of the temperature study of the impact of y, measured the following 10 sets of data: for y on x of the linear regression equation to test whether the
svm
- 支持向量机(SVM)是数据挖掘中的一个新方法,能非常成功地处理回归问题(时间序列分析)和模式识别(分类问题、判别分析)等诸多问题,并可推广于预测和综合评价等领域,因此可应用于理科、工科和管理等多种学科-Support vector machine
LogOn
- c#实现线性回归预测,线性回归时一个有用的技术,本文展示了一种带权重的自回归模型-Linear regression is a useful technique for representing observed data by a mathematical equation This article presents a C# implementation of a weighted linear regression c sharp AR auto regression predictio