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实验7-线形拟合
- 1、掌握MATLAB优化工具箱的基本用法，对不同算法进行初步分析、比较。 2、练习实际问题的非线性最小二乘拟合。-1.Understand the basic usage of Matlab optimization tool box. Analize and Compare different algorithms. 2. Practise nonliear minimum second order fitting using practical problems.
leastsquares.rar
- 用matlab作非线性最小二乘拟合，数学建模与数学实验,Using matlab for nonlinear least squares fitting, Math Modeling and Experimental Math
ols
- 最小二乘法原理及其MATLAB实现 线性拟合 多项式拟合 非线性拟合程序-Principle and MATLAB least squares linear fitting polynomial fitting nonlinear fitting procedure
LS_SVM
- 最小二乘支持向量机,用于多元非线性回归分析,非线性拟合与预测-Least squares support vector machine for multi-linear regression analysis, nonlinear fitting and prediction
curvefit
- 用MATLAB函数进行非线性拟合，在VB中调用-MATLAB function with non-linear fitting, call in VB
MATlAB_non_linear_fitting
- 用matlab实现对已知数据的非线性拟合及数据预测-Using matlab implementation of the known non-linear fitting of data and data prediction
fx_nihe
- 利用matlab对实验数据进行非线性拟合-Matlab on the experimental data using non-linear fitting
nmm105
- 线性方程组，非线性方程组，最小二乘拟合等数值算法的matlab实现。-Linear equations, nonlinear equations, numerical algorithm such as least-squares fitting of the realization of matlab.
lagrange
- 非线性拟合，可以根据已经数据，计算出对应的数据-Nonlinear fitting, can have data to calculate the corresponding data
MATLAB求解非线性最小二乘法拟合问题 源程序代码
- MATLAB求解非线性最小二乘法拟合问题 源程序代码(MATLAB solving nonlinear least squares method of fitting the source code)
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 networks 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 optimization BP neural network nonlinear function fitting)
saleh
- 用saleh模型拟合功率放大器，采用n组功放的输入输出数据标识模型中的参数，拟合功放输入输出曲线(Fitting power amplifier with Saleh model. The input and output data of N group power amplifier are used to identify the parameters in the model, to fit Input and output curve of fitted power amplifier.
NonlinearFittingLIVE
- 该算法实现了数据的非线性拟合，适合各种初值，(The algorithm implements nonlinear fitting of data)
BP神经网络的非线性系统建模_非线性函数拟合
- BP神经网络构建根据拟合非线性函数特点确定BP神经网络结构，由于该非线性函数有两个输入参数，一个输出参数，所以BP神经网络结构为2—5—1，即输入层有2个节点，隐含层有5个节点，输出层有1个节点。 从非线性函数中随机得到2000组输入输出数据，从中随机选择1900组作为训练数据，用于网络训练，100组作为测试数据，用于测试网络的拟合性能。(Construction of BP neural network for nonlinear function fitting structure acc
data fitting
- 掌握Matlab两个函数lsqcurvefit和nlinfit的用法； 掌握Matlab拟合工具箱cftool的使用； 编写非线性拟合函数。(Grasp the use of Matlab two functions lsqcurvefit and nlinfit; Grasp the use of Matlab fitting toolbox cftool; Compiling nonlinear fitting function.)
第8章 数据拟合
- 数据拟合，回归算法，一次回归，多次回归，线性拟合，非线性拟合(Data fitting, regression algorithm, primary regression, multiple regression, linear fitting, nonlinear fitting)
MATLAB求解非线性最小二乘法拟合问题 源程序代码
- matlab,用最小二乘法进行非线性拟合的程序,满足新手的学习(Matlab, a nonlinear fitting program using the least square method to meet the novice's learning)
xianxing
- 该代码主要用于非线性拟合，并举例指出如何运用。(Example of nonlinear fitting)
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)