搜索资源列表
MATLAB
- BP神经网络算法关于二元函数逼近拟合的matlab的程序-BP neural network algorithm for the binary function approximation fitting
svm
- 支持向量机模型用于预测分析效果显著，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine model is used to predict significant effect in solving small sample, nonlinear and high dimensional pattern recognition exhibit many unique advantages, and
Untitled27
- 二次函数拟合，采用regress进行拟合，可分析拟合度。-Quadratic function fitting using regress fitting, goodness of fit can be analyzed.
matlab-PLS
- 曲线拟合，函数逼近，预测，偏最小二乘法！-Curve fitting, function approximation, forecast, partial least squares.
LeaSquInterpolation
- 最小二次法拟合时历曲线，对于三角函数的测量信号数据较适用。采用基函数为sin cos。-least square interpolation method is used for simulating the time series data. And the basic function is trigonometric function.
chapter2
- BP神经网络关于非线性函数拟合的问题，表述了如何写其代码-BP neural network on non-linear function fitting problems, a presentation on how to write their code
celiangpingcha
- 运用坐标拟合的函数，求出某点的平面坐标和高程-Fitting function using coordinates, find a point of plane coordinates and elevation
curving
- 利用此函数可以在最小二乘意义上解决非线性曲线拟合（数据 拟合）问题。也就是说，给定输入数据xdata，以及观测的输出数据ydata，找到系数x，使 得函数F(x，xdata)能够最好的拟合向量值-MLS method not only can be applied for the purpose of curve (or surface) fitting, but also curve (or surface) interpolation when compactly supp