搜索资源列表
LS_identification
- 在matlab环境中，实现批量最小二乘算法-In the matlab environment, to achieve batch least squares algorithm
Inertiadevicefaultpredictionbasedonwavelet
- ：为了提高最小二乘支持向量回归机的性能，将Morlet小波核函数引入其中，形成了最小二乘小波支 持向量回归机模型。利用待优化的参数重构模型的目标函数和约束条件，并在此基础上通过遗传算法进行参数 选择，从而提高了该模型的泛化能力。将最小二乘小波支持向量回归机应用于导弹陀螺仪的漂移趋势预测，仿真 实验结果表明了该方法的有效性和可行性，因此可以为陀螺仪的故障预报、可靠性辅助决策提供依据。-To improve the abilit
NUIRLSNon-negativeUnder-determinedIterativelyRewe
- simulation of Non-negative Under-determined Iteratively Reweighted Least Squares
polynomial
- Least-square curve fitting using polynomials is probably the most basic way to perform some parametric regression analysis. Foor basic tools for polynomial curve fitting are provided here. I also strongly recommend the e
Least-squaresfittingalgorithm
- 用最小二乘法实现曲线拟合算法，通过给定的数据拟合出一条曲线-Using least squares curve fitting algorithm to achieve, through the given data fitting a curve
matlab
- 【1】随机序列产生程序 【2】白噪声产生程序 【3】M序列产生程序 【4】二阶系统一次性完成最小二乘辨识程序 【5】实际压力系统的最小二乘辨识程序 【6】递推的最小二乘辨识程序 【7】增广的最小二乘辨识程序 【8】梯度校正的最小二乘辨识程序 【9】递推的极大似然辨识程序 【10】Bayes辨识程序 【11】改进的神经网络MBP算法对噪声系统辨识程序 【12】多维非线性函数辨识程序的Matlab
OUProcess
- This program calibrates the Ornstein–Uhlenbeck process, a mean reverting AR(1) stochastic process. The parameters are estimated using (1)Least Squares fitting and (2)Maximum Likelihood estimation.-This program calibrates
lsq
- Least squares solution of Ax=b.
lms2
- this algorithm based on least mean square -this is algorithm based on least mean square
LMS
- LMS(Least Mean Square)算法是一种应用最为广泛的最优化算法-LMS (Least Mean Square) algorithm is a most widely used optimization algorithm
Least-squares-method-And-Nonlinearity
- 给出了两篇利用最小二乘法计算非线性度的方法的文档，并利用VB编写了简单的示例程序。-Gives the two least-squares method to calculate the use of non-linearity of the method of the document, and use VB to prepare a simple sample program.
least_square_simulation
- Using least squaer algorithm, this code can do fitting curve for the measurement data (linear ~ cubic )
curve_fitting_with_LSE
- This code is for the curve fitting with least square sense algrorithm. Using the measurment data, end-user can get the curve (1st order~ 4th order approximation)
rls2
- recursive least square method for training neuro fuzzy system
LSM22
- nonlinear least squares algorithms in C/C-nonlinear least squares algorithms in C/C++
fitting
- 利用最小二乘算法对一组坐标进行曲线拟合，其中包含了利用直接LU分解法解方程的算法代码实现。希望对用到数值计算的带来帮助。-The least square algorithm for fitting a set of coordinates, including the use of direct LU decomposition equations for the algorithm code to achieve. Want to
zishiying
- matlab的各种自适应仿真分析。。自适应信息处理的算法、方案繁多，究其实质可归纳为遵循最小均方误差(Least Mean Square，LMS)准则及最小二乘(Least Square，LS)准则两大类，其他算法大多是这两种算法的演进。-matlab simulation analysis of various adaptive. . Adaptive information processing algorithms, a vari
LS-SVM
- It give the code of Least square support vector matchine
LMS_8
- LMS: Least mean squares (LMS) algorithms is a type of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean squares of the error signal (difference betw
plstrian
- 用于partial least square 算法中数据的训练，并得到相应的系数矩阵-Partial least square algorithm for training data and corresponding coefficient matrix