Location:
Search - lsqcurvefit
Search list
Description: Lsqcurvefit-Torque，最小二乘法曲线拟合，主要用于发动机负荷曲线的拟合工作。
Platform: |
Size: 1162 |
Author: shi |
Hits:
Description: Lsqcurvefit-Torque，最小二乘法曲线拟合，主要用于发动机负荷曲线的拟合工作。-Lsqcurvefit-Torque, least squares curve fitting, mainly for the engine work load curve fitting.
Platform: |
Size: 1024 |
Author: shi |
Hits:
Description: LabVIEW编的非线性曲线拟合软件，不需要初始值就可以进行拟合求出函数的系数值-LabVIEW for the non-linear curve
fitting software,do not need the
initial value can be fitted on the
function values obtained
Platform: |
Size: 55184384 |
Author: wrshl@126.com |
Hits:
Description: 一个有关matlab解决最小二乘法函数lsqcurvefit的简要介绍，网上找的，分享了-Matlab solve a least squares lsqcurvefit function of a brief introduction, on-line to find and share.
Platform: |
Size: 3072 |
Author: mll |
Hits:
Description: matlab二维拟合函数表达式 应用于lsqcurvefit(@myfun,a0,data,zdata)
(非线性最小二乘法拟合)-curve fitting
Platform: |
Size: 3072 |
Author: yongchang |
Hits:
Description: 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。
autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种-Auto Gaussian Surface fit
---
2 routines to fit a 2D Gaussian to a surface:
zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b
The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters.
autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit.
autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals)
Platform: |
Size: 7168 |
Author: zzskzcau |
Hits:
Description: 最小二乘法lsqcurvefit拟合载流子的迁移率-The least squares method lsqcurvefit fitting carrier mobility
Platform: |
Size: 14336 |
Author: 王徐亮 |
Hits:
Description: Matlab inline-lsqcurvefit 参数拟合例子的源代码-Matlab inline-lsqcurvefit parameter fitting examples of source code
Platform: |
Size: 3072 |
Author: lulxf |
Hits:
Description: 多元微分方程参数识别，对网友的问题进行编程，并求出了准确结果，使用最小二乘lsqcurvefit函数-multiple variable differentical equtation parameter estimation using matlab lsqcurvefit function,the reslut is good
Platform: |
Size: 23552 |
Author: 韦小刚 |
Hits:
Description: 非线性曲线拟合是已知输入向量xdata和输出向量ydata，并且知道输入与输出的函数关系为ydata=F(x, xdata)，但不知道系数向量x。今进行曲线拟合，求x使得输出的如下最小二乘表达式成立：
min Σ(F(x,xdatai)-ydatai)^2-Nonlinear curve fitting is a known input and output vectors xdata vector ydata, and know the relationship between the input and output functions for ydata = F (x, xdata), but do not know the coefficient vector x. As least-squares curve fitting expression today, find x such that the output of the establishment:
min Σ (F (x, xdatai)-ydatai) ^ 2
Platform: |
Size: 1024 |
Author: hairongwu |
Hits:
Description: 用MATLAB作非线性最小二乘拟合
Matlab的提供了两个求非线性最小二乘拟合的函数：lsqcurvefit和lsqnonlin。-Use MATLAB for nonlinear least squares fitting, MATLAB provides two nonlinear least-square fitting function: lsqcurvefit and lsqnonlin.
Platform: |
Size: 13312 |
Author: sunqingle |
Hits:
Description: 采用MATLAB的lsqcurvefit函数进行非线性拟合。-Nonlinear fitting using lsqcurvefit s MATLAB function。
Platform: |
Size: 114688 |
Author: 老赵 |
Hits:
Description: 卡尔曼滤波,最小二乘法,数据,拟合结果文档记录-Calman filter, least square method, data
Platform: |
Size: 117760 |
Author: zhuxiaodong |
Hits:
Description: 掌握Matlab两个函数lsqcurvefit和nlinfit的用法；
掌握Matlab拟合工具箱cftool的使用；
编写非线性拟合函数。(Grasp the use of Matlab two functions lsqcurvefit and nlinfit;
Grasp the use of Matlab fitting toolbox cftool;
Compiling nonlinear fitting function.)
Platform: |
Size: 195584 |
Author: 阿飞大大
|
Hits:
Description: %LSQCURVEFIT solves non-linear least squares problems.
% LSQCURVEFIT attempts to solve problems of the form:
% min sum {(FUN(X,XDATA)-YDATA).^2} where X, XDATA, YDATA and the values
% X returned by FUN can be vectors or
% matrices.
Platform: |
Size: 3072 |
Author: sidor55 |
Hits: