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Data-fitting-methods
- 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))。-offers several d
LM-fit
- 非线性最小二乘-LM法 是用IDL语言编写的，基本思想可以参考-Nonlinear least-squares-LM method is to use IDL language, the basic idea can refer to
curvefiting
- 该程序利用最小二乘法进行拟合多元非线性方程。是我做毕设的时候写的。希望对大家有用。-This code can fit multivariable nonlinear equation by using least squares.
Image2Html
- 内容包括:解线性代数方程组,插值,数值积分,特殊函数,函数逼近,特征值问题,数据拟合,方程求根和非线性方程组求-Include: solving linear algebraic equations, interpolation, numerical integration, special functions, function approximation, eigenvalue problem, the data fit the equation Roots and nonlinear eq
Elevation-fitting
- BP 网络具有以任意精度逼近定义在紧致子集上的任意非线性函数的能力, 因而被广泛应用于识别、预测、拟合。-BP network has to approach any degree of accuracy defined in the compact subset of the capacity of any nonlinear function, which is widely used in identification, prediction, fit.
curvemain_kcsjjj
- 最小二乘法拟合一个非线性函数（这里是齿轮四杆机构的各边及齿轮大小的拟合） 多变量 多参数 函数表达式复杂（但必须有表达式，只有微分方程不行） 在数据较少的时候 拟合多个参数-A nonlinear function of the least squares fit (in this case each side of the four agencies gear and gear size fitting) complex expression of multi-variable multi-p
BP-of-Nonlinear-2
- 利用带动量项的改进ＢＰ神经网络算法对非线性函数进行拟合。通过验证函数，可以对训练好的数据进行验证。-Driven by the amount of improved BP neural network algorithm to fit the nonlinear function. Validated by the validation function, can be trained data.
ASA
- Adaptive Simulated Annealing (ASA) is a C-language code developed to statistically find the best global fit of a nonlinear constrained non-convex cost-function over a D-dimensional space. This algorithm permits an annealing schedule for "temper
data-fitting
- 运用最小二乘法对数据进行拟合，内容包括1. 1.运用matlab自带的程序对最小二乘法数据拟合 2.自己编程对最小二乘法数据拟合3.对非线性曲线拟合4.运用神经网络对实验数据进行拟合 -Using least squares fit of the data, including 1.1. Using matlab own procedures for least squares data fitting 2. Their own programming on the method of le
wenti_1_GA_LS
- 基于遗传算法的非线性方程的拟合，实现高拟合质量，不需要输入初值。-Fitting nonlinear equations based on genetic algorithms to achieve high quality fit, do not enter the initial value.
Wavelet_NNS
- 这是一个用小波神经网络进行非线性函数逼近的例子，拟合效果非常好-This is an example of a nonlinear wavelet neural network function approximation, the effect is very good fit
tuoqiu
- 本程序给出了最小二乘法拟合非线性特征下的模型参数的详细程序，能够精确估计模型参数和拟合模型。-This program gives a nonlinear least squares fit model parameters characteristic under detailed procedures to accurately estimate the model parameters and fitting models.
GA
- matlab编程，实现灰色预测模型,基于当前已有的数据，用来预测未来一段时间内的发展趋势，对于线性发展趋势拟合情况很好，对于非线性预测差一点。-matlab programming, gray prediction model based on the current available data to predict future trends over time, the linear trends fit in good condition, almost nonlinear predic
yengsan_v30
- 意信号卷积的运算,并且绘制图象，关于非线性离散系统辨识，利用最小二乘算法实现对三维平面的拟合。- Convolution operation is intended to signal and image rendering, Nonlinear discrete system identification, Least-squares algorithm to fit a three-dimensional plane.
fengyie
- 各种资源分配算法实现，利用最小二乘法进行拟合多元非线性方程，利用最小二乘算法实现对三维平面的拟合。- Various resource allocation algorithm, Multivariate least squares fitting method of nonlinear equations, Least-squares algorithm to fit a three-dimensional plane.
2
- 一个MATLAB程序，关于BP神经网络的非线性系统建模，可用于非线性函数拟合-A MATLAB program, system modeling BP Nonlinear neural networks, nonlinear function may be used to fit
2554
- Based on piecewise nonlinear weight value Pso algorithm, Least-squares algorithm to fit a three-dimensional plane, Much posture, multi-angle, have different light.
classical PI model
- 使用一般PI模型拟合非线性曲线，最小二乘法参数辨识，逆模型前馈(The general PI model is used to fit the nonlinear curve, the least square parameter identification, and the inverse model feedforward.)