搜索资源列表
tsls
- Two-Stage Least Squares method for instrumental variables estimation
hough-circle
- 基于Hough变化的圆检测程序，以及最小二乘法的基本原理-Hough circle detection based on changes in procedures and the basic principle of least squares
PLS
- 偏最小二乘回归的通用程序，以“基于近红外光谱分析的汽油组分建模”为例 -Partial least squares regression of the general program of " Near infrared spectroscopy based gasoline component modeling" as an example
bootgmregress
- 自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。 在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。 二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，
l1_ls_matlab34351
- A Matlab solver for l1-regularized least squares problems
Untitled7
- 系统辨识函数的介绍，包括最小二乘法，和辅助变量法-Introduction to system identification function, including the least squares method, and the instrumental variable method
2dgaussian
- 汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 auto
LS-SVM-modele-and-effect
- 最小二乘支持向量机（LS-VSM）的模板及其仿真效果，希望对你有所帮助-Least squares support vector machine (LS-VSM) template and- simulation effect, hope to be helped somewhat to you
identification-on-MATLAB
- 一种同时辨识单输入一单输出线性定常系统差分模型的阶次和参数的方法-Based on the MATLAB recursive least squares identification and simulation
zxec
- 最小二乘法源代码。可以用来计算最小二乘法最佳拟合直线-Can be used to calculate the least squares best fit straight line
surfacefittingPara
- B-Spline Surface Least-Squares Fitting of both Positions and Normals.
redundancy
- B-Spline Surface (with redundant points) Least-Squares Fitting of both Positions and Normals.
gfDlg
- 最小二乘法楞中 在在 要转基因轼 工轩工轩-Least squares ksdjf skjdfa asdkjfl sdfkj dskfj sdkfjk skdfjksd kfsk kjd skfj skdfj skdf ksf sk fskfj
IMM-sim
- IMM算法仿真,Matlab源码,用了最小二乘法，EKF，UFK等几种方法比较-IMM algorithm simulation, Matlab source code, using the least squares method, EKF, UFK Comparison of several methods such as
yiyuanxianxing
- 可对输入的X，Y进行最小二乘法的一元线性回归计算，并画出图像-Can enter the X, Y the least squares linear regression calculations, and draw the image
data-fitting
- 该matlab源码为最小二乘数据拟合测试程序。通过了调试测试。-Matlab source code of the test program for the least squares data fitting. Through the commissioning tests.
least-square-method-using-c-language
- 该程序通过依次输入已知点个数n，输入已知点的X坐标，输入已知点的Y坐标直接得到经最小二乘法拟合得到的一元线性方程。-The procedure followed by the number of known points in the input n, enter the coordinates of a known point X, Y coordinates of a known point input directly from the least squares fitted by a
ditui
- 实现递推最小二乘，并给出辨识各次结果与收敛性-Recursive least squares implementation, and results are given recognition and convergence of various
algorithm
- 超松弛迭代法、最小二乘法、拉格朗日插值法、牛顿插值法、牛顿迭代法、雅克比迭代-Over relaxation method, least squares, Lagrange interpolation, Newton interpolation, Newton' s iterative method, Jacobi iteration
CurveFitting
- Chapter 5. Curve Fitting Algorithm 5.1 Least Squares Line Algorithm 5.2 Least Squares Polynomial Algorithm 5.3 Non-linear Curve Fitting Algorithm 5.4 Cubic Splines Algorithm 5.5 Trigonometric Polynomials-Chapter 5. Curve Fitting