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GA
- GA拟合多元函数，实现函函数的拟合。遗传算法在拟合复杂函数具有很好的效果。残差小。(GA fitting multivariate functions, the realization of the function of the fitting. The genetic algorithm has a good effect in fitting complex functions. Small residual.)
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- 用数据拟合函数：给出一组x和y的数据，用matlab拟合函数并绘图(Use data fitting function)
BP1
- 拟合函数 预测 误差分析 运用bp神经网络进行实验(Fitting function prediction error analysis, using BP neural network for the experiment)
data fitting
- 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 functi
插值拟合
- 用于函数的插值与拟合（Matlab实现）(For the interpolation and fitting function)
正交多项式最小二乘拟合
- 计算给定点列的曲线拟合最小二乘法得到的函数(The function of least square method for curve fitting of fixed point column)
FuncLrzFit
- 采用matlab进行洛伦兹拟合的函数，具体拟合采用了最小二乘法。(This matlab function fits lrz, and it is very useful.)
有理样条
- MATLAB实现了有理样条函数拟合插值。亲测可用。(MATLAB realizes the rational spline function fitting interpolation. Affinity test available.)
Class1
- 最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。(The least square method (also called the least square method) is a mathematica
shujunihe
- 读取数据，根据需要写出相应的函数关系式进行拟合(Read the data and write the corresponding function formula to fit in according to the need)
pro22
- 多次函数最小二乘法拟合数据，并进行误差计算，程序中数据为温度拟合(The multiple function least square method is used to fit the data and calculate the error. The data in the program is temperature fitting.)
main
- 最小二乘算法拟合多项式，最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。(Least square algorithm fitting polynomial)
Language
- 程序实现线性插值、抛物插值、牛顿多项式插值、等距节点插值、最小二乘法的曲线拟合对函数进行近似(The function is approximated by linear interpolation, parabolic interpolation, Newton polynomial interpolation, equidistant node interpolation, and least square curve fittin
nlinfit+regress_data fitting
- 对农作物六种经典水分生产函数模型的相关数据进行拟合求函数中参数(Fitting the parameters of the six classical crop water production function models by fitting the related data)
polyfit
- polyfit函数是matlab中用于进行曲线拟合的一个函数。其数学基础是最小二乘法曲线拟合原理。曲线拟合：已知离散点上的数据集，即已知在点集上的函数值，构造一个解析函数（其图形为一曲线）使在原离散点上尽可能接近给定的值。(The polyfit function is a function used in curve fitting in matlab. Its mathematical basis is the principle
BaseFunction
- 用于b样条函数拟合，首先是基函数的展开，然后选择控制点进行拟合(B spline function fitting)
实验2
- 最小二乘法详细程序实现。曲线拟合。 1.直线型 2.多项式型 3.分数函数型 4.指数函数型 5.对数线性型 6.高斯函数型(The principle of least square method, formula deduction, program realization.)
zernike
- 计算泽尼克多项式和具有一致相合函数的泽尼克拟合系数(Zernike polynomials are orthogonal on the unit circle and are commonly used in optics for phase aberrations. Use zernike_fcn3.m to generate Zernike polynomials. Input includes a vector of the d
LabVIEW-Origin
- LabVIEW Origin相关函数，包括分析、拟合、作图等(Origin Functions in LabVIEW)
Chebyshev
- 实现切比雪夫多项式拟合的函数源代码，保存后可直接调用(Chebyshev polynomial fitting function source code, save directly after the call.)