Polynomial Fit functions === === === === RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class has good performance and scales seamlessly with the complexity of your problem.
标签： RegressionObject Polynomial functions contains
上传时间： 2015-04-06
上传用户：rocwangdp
提供了几种数据拟合的c++代码：1 直线拟合(Fit)；2 线性最小二乘法((LFit, COVSRT), (SVDFit, SVDVAR)(oddity), (FPOLY, FLEG)(example))；3 非线性最小二乘法((MRQMIN(Levenberg-Marguardt), MRQCOF(evaluation)), FGAUSS(example))；4 绝对值偏差最小的直线拟合(MEDFit(cal para), ROFUNC(example))。
标签： COVSRT SVDFit SVDVAR oddity
上传时间： 2014-01-09
上传用户：bjgaofei
通过奇异值分解实现的最小二乘拟合算法 inear least-squares Fit by singular value decomposition
标签： decomposition least-squares singular inear
上传时间： 2015-07-26
上传用户：bibirnovis
IF YOUR DESIGN A VIDEO SYSTEM YOU NEEDED IT （INCLUDE A AVIFIL32.DLL) It Fit VFW
标签： INCLUDE DESIGN AVIFIL SYSTEM
上传时间： 2014-01-05
上传用户：jackgao
Fit programme for a serials of data
标签： programme serials data Fit
上传时间： 2013-12-17
上传用户：225588
a neural network,Recursive SOM and Marge SOM ,can be use for time series and data Fit.
上传时间： 2013-12-17
上传用户：cxl274287265
ICP Fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to Fit model see help icp for more information
标签： points the minimize respect
上传时间： 2014-01-02
上传用户：gyq
Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
标签： Cross-Entropy cross-entropy multivariate powerfull
上传时间： 2014-12-20
上传用户：love_stanford
多项式曲线拟合 任意介数 Purpose - Least-squares curve Fit of arbitrary order working in C++ Builder 2007 as a template class, using vector<FloatType> parameters. Added a method to handle some EMathError exceptions. If do NOT want to use this just call PolyFit2 directly. usage: Call PolyFit by something like this. CPolyFit<double> PolyFitObj double correlation_coefficiant = PolyFitObj.PolyFit(X, Y, A) where X and Y are vectors of doubles which must have the same size and A is a vector of doubles which must be the same size as the number of coefficients required. returns: The correlation coefficient or -1 on failure. produces: A vector (A) which holds the coefficients.
标签： Least-squares arbitrary Purpose Builder
上传时间： 2013-12-18
上传用户：宋桃子
首次适应算法（First Fit）： 从空闲分区表的第一个表目起查找该表，把最先能够满足要求的空闲区分配给作业，这种方法目的在于减少查找时间。为适应这种算法，空闲分区表（空闲区链）中的空闲分区要按地址由低到高进行排序。该算法优先使用低址部分空闲区，在低址空间造成许多小的空闲区，在高地址空间保留大的空闲区。
上传时间： 2014-01-08
上传用户：1051290259
