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多项式回归法得色彩空间转换(色彩信息处理)-polynomial regression in color space conversion (Color Information Processing)
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Polynomial fit functions
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RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class ha
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Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dic
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强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程
-Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For wei
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工量预测.xls
截面扭转特性.xls
截面特性一.xls
截面特性二.xls
最优化问题.xls
最值问题.xls
牛顿法解方程.xls
矩阵运算.xls
线性拟合.xls
解线性方程组.xls
解线性方程组(二).xls
辛普森法积分.xls
频率与振型求解.xls
双变量模拟运算.xls
多元线性回归.xls
多项式拟合.xls
实例1.xls
实例2.xls
实例3.xls
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Matlab数据统计和分析的程序,包含下面所列的多种算法的
MultiLineReg 用线性回归法估计一个因变量与多个自变量之间的线性关系
PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系
CompPoly2Reg 用二次完全式回归法估计一个因变量与两个自变量之间的关系
CollectAnaly 用最短距离算法的系统聚类对样本进行聚类
DistgshAnalysis 用Fisher两类判别法对样本进行分类
MainAnalysis 对样本进行主成分
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这是用matlab实现的数据分析和统计程序,包括:用线性回归法估计一个因变量与多个自变量之间的线性关系,用多项式回归法估计一个因变量与一个自变量之间的多项式关系等-This is achieved using matlab data analysis and statistical procedures, including: linear regression estimation one dependent variable with more than a linear relations
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a modified method for polynomial regression is described in a very simple matlab program. easy to understand
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Least-square curve fitting using polynomials is probably the most basic way to perform some parametric regression analysis. Foor basic tools for polynomial curve fitting are provided here. I also strongly recommend the exhaustive function POLYFITN
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用多项式回归的方法编程实现了从设备相关颜色空间RGB到设备无关颜色空间Lab之间的转换。-Polynomial regression method with programming from the device-dependent RGB color space to device-independent color space conversion between Lab.
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回归分析MATLAB工具箱的使用,包括多元线性回归,多项式回归,多元二项式回归,非线性回归,逐步回归-Regression analysis using the MATLAB toolbox, including multiple linear regression, polynomial regression, multiple binomial regression, nonlinear regression, stepwise regression
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空间插值方法汇总Inverse Distance to a Power(反距离加权插值法) Kriging(克里金插值法)Minimum Curvature(最小曲率)Modified Shepardd s Method(改进谢别德法)Natural Neighbor(自然邻点插值法)Nearest Neighbor(最近邻点插值法)Polynomial Regression(多元回归法)Radia
-Spatial interpolation method summary Inverse
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多元回归源代码。回归方式:配置为0表示进行多元线性回归;1进行多项式回归;2进行多元二次回归。变量/阶数:回归方式配置为0时表示参与回归的变量数,配置为1时表示回归的阶数;(默认待回归变量不超过6个或拟合阶数不超过6次)
-Multiple regression source code. Regression: Configure multiple linear regression polynomial regression 2 multivariate quadratic regre
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MultiLineReg:用线性回归法估计一个因变量与多个自变量之间的线性关系
PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系
CompPoly2Reg:用二次完全式回归法估计一个因变量与两个自变量之间的关系
CollectAnaly:用最短距离算法的系统聚类对样本进行聚类
DistgshAnalysis:用Fisher两类判别法对样本进行分类
MainAnalysis:对样本进行主成分分析.-MultiLineReg: estimated
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多元多项式回归,即一个程序,一个程序,对于给定的数据确定最小误差平方多项式。输出值也可能被转化运用Logit变换,从而使多元logistic回归。如何应用此程序的简要描述,可以发现在C源码包文件中的倒退/ EX / README。-A program for multivariate polynomial regression, i.e., a program that determines a minimum squared error polynomial for given data. T
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数理统计,一元非线性,一元线性,二元多项式逐步回归,分布假设检验-Mathematical statistics, one yuan nonlinearity, a linear, binary polynomial regression, the distribution of hypothesis testing
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线性回归的学习算法。包括数据分析、线性回归、在线梯度下降、多项式回归。压缩包中给出.txt数据文件及说明文档。-Linear regression learning algorithm. Including data analysis, linear regression line gradient descent, polynomial regression. Compressed data given .txt file and documentation.
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this code helps to find answer through polynomial regression method
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一元线性回归,多元线性回归,广义线性回归,多项式回归-Linear regression, multiple linear regression, generalized linear regression, polynomial regression
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一元多项式回归模型及其Matlab程序,已知各年度的税收数据见表11,预测第15年的税收-One dollar polynomial regression model and its Matlab program, known tax data for each year in Table 11, forecast the 15th year of tax
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