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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
CurveC++
- 曲线拟合算法，C++程序，多种拟合方法，包括拉格兰日算法等 -Curve fitting algorithm, C++ Procedures, fitting a variety of methods, including algorithms, such as Raglan Day
fitellipse
- 椭圆曲线拟合。首先发现图像的轮廓，然后用椭圆逼近它。-Elliptic curve fitting. The first to discover the outline of the image, and then close it with an oval.
FitCurve
- vc++实现数值拟合与逼近计算方法
PolynomialFi
- 根据已知点拟合曲线，拟合效果比较好，也可以用来求取未知值。-The basis of known point curve, fitting results were good, can also be used to strike an unknown value.
chazhi
- 二次拟合曲线插值计算 三 次样条曲线插值计算-Quadratic curve fitting curve interpolation calculation of the three interpolation calculation of cubic spline curve interpolation calculation
matlab
- 这是一些关于MATLAB的小程序，有曲线拟合的，利用线性网络进行线性预测，正交实验设计及其实验结果的极差分析等，希望对大家能带来帮助！-This is a small number of MATLAB procedures, there is curve fitting, and linear networks using linear prediction, orthogonal experimental design and experimental results of range ana
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)
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.)