搜索资源列表
拟合
- 拟合小程序，可以看看！-small fitting procedures, we can!
opencv圆和椭圆拟合
- 圆及椭圆的拟合并输出圆和椭圆的长短轴，使用opencv+vs编写
第8章 数据拟合
- 数据拟合用，有好几个例子可以参考，个人觉得会很有帮助的(Data to be used together, there are several examples can refer to, personally feel that will be very helpful)
带积分的拟合
- 表达式里面含有积分项，一般的软件无法拟合，通过matlab编程来实现(The expression contains an integral term, the general software can not be fitted, through matlab programming to achieve)
数据拟合
- 进行数据的拟合，将预测与实际数据进行比对(Fitting the data and comparing the forecast with the actual data.)
BP神经网络的非线性系统建模-非线性函数拟合
- BP神经网络的非线性系统建模-非线性函数拟合(Nonlinear system modeling of BP neural network nonlinear function fitting)
遗传算法优化BP神经网络-非线性函数拟合
- 遗传算法优化BP神经网络-非线性函数拟合(Genetic algorithm optimizes BP neural network nonlinear function fitting)
最小二乘法曲线拟合
- 最小二乘法曲线拟合，基于C语言编写的算法(Least squares curve fitting algorithm based on C language)
直角坐标系-zernike多项式波面拟合程序
- 可以对离散点进行波面泽尼克拟合，程序很好用(Wave surface Zernike fitting can be used for discrete points)
image_图像边缘检测，图像分割，检测及圆拟合
- 可以实现图像边缘检测，并对圆形区域实现圆的拟合(It can realize image edge detection and circle fitting.)
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.)
数据拟合
- 数据拟合：一元函数插值、样条插值、多项式插值或拟合、曲线拟合、各种边界条件的样条插值、样条拟合、二元函数插值、拉格朗日插值法(Data fitting: interpolation of unary functions, spline interpolation, polynomial interpolation or fitting, curve fitting, spline interpolation of various boundary conditions, spline fitti
曲线拟合
- 找出一大串数据，用一个函数进行逼近，或者拟合。使其误差尽可能小(Find a bunch of data, approximate it with a function, or fit it.Make the error as small as possible)
Ransac拟合直线和圆
- C# 实现直线拟合，圆拟合 ransac算法，剔除忽略点(C# realizes line fitting and circle fitting with ransac algorithm to eliminate the ignored points)
曲线拟合
- 最小二乘法实现曲线拟合，返回拟合多项式系数(Least Squares Method for Curve Fitting)
matlab最小二乘法曲面拟合
- matlab最小二乘法曲面拟合程序可以得到函数具体解析式(Matlab least squares surface fitting program can get the specific analytic expression of the function)
多项式和非多项式曲线拟合
- 多项式拟合在matlab中可以使用ployfit函数求解多项式系数，通过ployval函数求解拟合多项式在某数据点处的值(Polynomial and Non-polynomial Curve Fitting)
数据拟合
- 利用MATLAB进行数据拟合，常见的数据拟合方法。包括：一元函数插值、样条插值、多项式插值或拟合 、曲线拟合、拉格朗日插值法等。(MATLAB data fitting, common data fitting methods. It includes: interpolation of unitary function, spline interpolation, polynomial interpolation or fitting, curve fitting, Lagrange inte
labview拟合
- labview的曲线拟合，包括线性拟合，多项式拟合，有输入有输出(Curve fitting of LabVIEW, including linear fitting, polynomial fitting, with input and output)
多项式高程拟合
- Matlab多项式实现区域高程拟合，需要自己输数据(In order to realize the regional elevation fitting by MATLAB polynomials, we need to input data by ourselves)