搜索资源列表
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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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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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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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C++实现最小二乘法一元回归和多项式拟合-C++ implementation of one yuan least squares regression and polynomial fitting
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逻辑回归,机器学习相关内容,内有说明,基于matlab仿真-ex2.m- Octave scr ipt that will help step you through the exercise
ex2 reg.m- Octave scr ipt for the later parts of the exercise
ex2data1.txt- Training set for the rst half of the exercise
ex2data2.txt- Training s
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包括基于矩阵运算计算回归系数并添加趋势线,基于多项式拟合计算回归系数并添加趋势线,借助回归分析程序包计算回归系数并估计检验统计量,及预测和各统计量。(Including the regression coefficient and add the trend line calculation based on matrix computation, polynomial fitting to calculate the regression coefficient and add the tre
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Data.PS功能简介:本数据处理软件内置表格编辑器,可以方便的进行数据输入输出;可以进行常见的(a)数值计算,如求解线性方程组、非线性方程组、常微分方程组、多项式求根、傅里叶变换、傅里叶逆变换、线性规划求解、多元线性回归和多元非线性回归参数拟合(20参数)、插值、微分、积分、求逆矩阵、矩阵特征值和特征向量、行列式值;(b)统计分析,统计描述、频数分布、假设检验、正态分布检验、二项式分布检验、泊松分布检验、相关性分析、方差分析;(c)6Sigman工具,过程能力CPK计算、测量系统分析MSA、公
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SVM Light工具箱 Matlab接口,已经编译好,可直接用(SVMlight, by Joachims, is one of the most widely used SVM classification and regression package. It has a fast optimization algorithm, can be applied to very large datasets, and has a very efficient implementation of
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LWP是一种Matlab / Octave工具箱实现局部加权多项式回归(也被称为局部回归/局部加权散点平滑/黄土/ LOWESS和核平滑)。使用此工具箱,您可以使用九个具有度量窗口宽度或最近邻窗口宽度的任意一个内核来拟合任意维度的数据的局部多项式。还提供了一个优化内核带宽的函数。优化可采用留一交叉验证,GCV,AICC、AIC,FPE,T,执行,或单独的验证数据。鲁棒拟合也可用。(LWP is a Matlab/Octave toolbox implementing Locally Weight
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LWP是一种Matlab / Octave工具箱实现局部加权多项式回归(也被称为局部回归/局部加权散点平滑/黄土/ LOWESS和核平滑)。使用此工具箱,您可以使用九个具有度量窗口宽度或最近邻窗口宽度的任意一个内核来拟合任意维度的数据的局部多项式。还提供了一个优化内核带宽的函数。(LWP is a Matlab/Octave toolbox implementing Locally Weighted Polynomial regression (also known as Local Regre
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局部加权多项式回归的目的是解决全球行为模型的表现不好或不能有效地应用于不必要的努力。LWP是一种非参数回归方法,是通过低阶多项式对数据子集进行逐点拟合局部。(Locally Weighted Polynomial regression is designed to address situations in which models of global behaviour do not perform well or cannot be effectively applied without u
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LWP是一种Matlab / Octave工具箱实现局部加权多项式回归(也被称为局部回归/局部加权散点平滑/黄土/ LOWESS和核平滑)。(LWP is a Matlab/Octave toolbox implementing Locally Weighted Polynomial regression (also known as Local Regression / Locally Weighted Scatterplot Smoothing / LOESS / LOWESS and Ke
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