搜索资源列表
curvfit
- Curve fitting（一）绘制散点图，决定曲线类型 （二）曲线直线化变换（三）建立线性回归方程(四)用线性回归拟合曲线-Curve fitting (1) mapping of plot, decided to curve type (2) linear curve Transform (3) linear regression equation (4) using linear regression curve
PE5SETUP5
- ProEssentials v5是应用于windows 服务器端和客户端开发的一系列图表组件，它是对绘制图表以及图表分析功能所需要的数据和方法的简单封装。可以提供Winforms、Webforms、ActiveX、VCL和DLL五种界面。它的图表类型很多，包括：一般图表、科学图表、3维图表、极坐标图表、饼状图表，几乎覆盖了所有常见的图表类型。我们可以很方便的调用ProEssentials v5的函数库，添加绘制图表的功能，并可以对图表进行分析，如：回归，求最大值，拟合曲线等。我们还可以很方便的将
NuExplorerWin2009.08
- 散点图的拟合程序，在一个外国的网站上下载的，不过没有看懂-Scatter of the fitting procedure, in a foreign Web site to download, but have failed to understand
Code_MATLAB_Statistical_Analysis
- 这是张德丰《MATLAB概率与数理统计分析》随书源码(M文件)。代码包括的内容有：概率分布计算及统计特征、数字特征计算、统计图绘制(盒状图、散度图等)、点估计和区间估计、假设检验、方差分析、曲线拟合、回归分析、因素分析、聚类分析、正交实验设计分析、多元方差分析、判别分析、隐马尔可夫模型建模与参数估计和在语音识别中的应用。-This is Zhang Defeng " MATLAB Analysis of probability and mathematical statistics,&
p62
- 由已知的一些散点，用最小二乘法来拟合多项式。-Some scattered points from the known, the least square method to fit the polynomial.
Untitled3
- 通过根据散点数据，进行差值拟合，绘制等高线。-According to scatter through the data, fitting the difference, drawing contour lines.
RongBingShiJian_2
- 基于最小二乘法的曲线拟合，可以实现散点图和曲线图形的快速绘制-Curve fitting based on least squares method
qumiannihe
- 根据（x,y,z）数据点进行曲面拟合，并绘制散点图、曲面图等-qumian nihe
lncurve
- 根据散点值拟合指数、对数趋势线，并用asp.net画图实现。-Scatter values fit index, the logarithmic trend line, and use asp.net drawing to achieve.
geneticPneural
- 神经网络与遗传算法的结合，解决散点拟合，预测问题。都是用工具箱，很方便 -genetic+ neural algorith
jiaodujisuan
- 实现众多散点图形的角度计算，按区域拟合曲面，也可以按步长控制计算-Achieve many scatterplot shaped angle fitting surface area, can also be calculated according to the step size control
three_spline
- 三次样条插值求解程序,拟合广顺一些散点非常有效，操作简单高效，容易上手-three spline function sovle some dicreted points to a smooth line,it is very fast and efficient.Also,operation is easy to learn.It is a good method
duoxiangshinihe
- 多项式拟合，对一群散点，采用最小二乘法进行多项式拟合-Polynomial fitting, a group of scattered points, using the method of least squares polynomial fitting
Population
- 人口数量散点拟合函数，利用matlab中cftool工具箱-spline function
fit
- 对一系列散点数据进行拟合，得到平滑的曲线(A series of scattered data are fitted to obtain a smooth curve)
图像处理
- 椭圆拟合 XY 分别对应其坐标轴 XY点 散点 拟合 椭圆 灰度转化真彩(The ellipse fitting XY corresponds to its coordinate axis, XY point, scatter point and ellipse fitting)
最小二乘法拟合
- %最小二乘法下用a*sin（x）+b*cos（x）拟合下列散点坐标 %求出拟合系数a，b和方差Dx(The least square method is used to fit the following scatter coordinates with a*sin (x) +b*cos (x) The fitting coefficients a, B and variance Dx were calculated)
mrUV
- 文件的读取、拼接，最小二乘拟合，曲线拟合，并做散点图(Reading and splicing of files, fitting of least squares, fitting of curves, and making scatter plot)
LorentzFit
- 按照洛伦兹分布将散点拟合成曲线，基于Labview(Lorentz distribution curves fiting based on Labview.)
statistics
- 用此程序，可将一条曲线离散成散点，并用三次样条曲线重新拟合，使其具有良好而形态。(With this procedure, a curve can be discretized into scatters and re-fitting with a cubic spline curve to give it a good shape.)