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最小二乘法的曲线拟合
- 使用最小的二乘法实现对曲线的拟合。并输出最后的拟合曲线-use of the two smallest multiplication achieve the right curve fitting. And the final output curve
曲线◎拟合
- vc++二维数据拟合源代码边干边学过后 共和国精华区 国会结构化-vc fitting two-dimensional data source learning by doing focus of the Republic after the structure of Congress
二次曲线拟合---最小二乘法
- 最小二乘法拟合，其中应用了列主元高斯消去法处理矩阵
nihe
- 最小二乘平面曲线拟合算法，计算最佳拟合曲线-Least squares plane curve fitting algorithm to calculate the best fitting curve
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 of least-squares curve fitting
chapter1
- 曲线拟合(curvefun)
NIHE
- 这是自己修改过的实际matlab曲线拟合程序，可实现3阶最小二乘拟合(This is the actual Matlab curve fitting program which can realize the 3rd order least squares fitting)
MATLAB
- 利用matlab程序，进行曲线拟合，并返回误差R值(Matlab program, curve fitting, and return error R value)
拟合圆心半径
- 用最小二乘法拟合求曲线圆心和半径。用vs2013平台开发。(The center and radius of the curve is calculated by least squares fitting. Develop with vs2013 platform.)
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.)
BP神经网络与多项式拟合曲线
- BP神经网络与多项式拟合曲线，数据统计描述，神经网络模型，概率统计建模的理论和方法。(BP neural network and polynomial fitting curve, data statistical descr iption, neural network model, probability and statistics modeling theory and method.)
皮尔逊III型曲线拟合与绘图
- 拟合p3曲线，获得参数；根据参数绘制p3曲线；插值获取不同频率的流量数据，(Fitting the P3 curve to get the parameters, drawing the P3 curve according to the parameters, and interpolating the flow data of different frequencies.)
logistic-regression-in-c---master
- 曲线拟合的带有界面的代码，包含详细的计算过程(Code with interface for curve fitting)
基于移动最小二乘法的曲线曲面拟合
- 基于移动最小二乘法的曲线曲面拟合，MATLAB代码编辑流程(MATLAB Code Editing Process Based on Moving Least Square Method for Curve and Surface Fitting)
quxiannihe
- 曲线拟合的目的是找出一系列的参数a0，a1，....，通过这些参数最好地模拟实验结果。 *线性拟合-把实验数据拟合为一条直线y[i]=a0+a1*X[i] *指数拟合-把数据拟合为指数曲线y[i]=a0*exp(a1*X[i]) *广义多项式拟合-就是多项式拟合，即把数据拟合为多项式函数： y[i]=a0+a1*X[1]+a2*X[i]^2... 可以选择不同的算法，以获得更好的精度和准确性。 *广义线性拟合-公式为y[i]=a0+a1*f1(
MATLAB曲线拟合程序
- 此代码为一段用MATLAB编写的二维曲线拟合程序
MATLABEX4
- 该程序用于MATLAB学习爱好者，用于毕业设计的仿真，涉及函数计算和曲线拟合(The program is used for MATLAB learning enthusiasts and for the simulation of graduation design, involving function calculation and curve fitting.)
matlab曲线拟合代码
- matlab源程序，数据曲线拟合代码，有对应文档说明
PQnihe
- 试验得到的负荷数据（有功、无功），通过曲线拟合辨识模型参数。最小二乘法原理(The load data (active and reactive power) obtained from the test are identified by curve fitting. Principle of least square method)
PolynomialCurveFitting
- 基于python的多项式曲线拟合，本程序以1 3 5 9次为例子。(Based on the polynomial curve fitting of python, this program takes 1 3 5 9 times as an example.)