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PSO, GA and many other optimization algorithms
- 包含一些常用的数学优化方法和高级的优化方法,如线性规划,整数规划,最小二乘法,GA,PSO等(A lot of mathmatical optimization algorithms such as linear programming, integer programming, least square method are included. In addition, improved GA and PSO are also included.)
test_detectCircle
- 运用最小二乘法、几何中心法等等来实现圆检测功能(Using the least square method, the geometric center method and so on to realize the circle detection function)
Parameter estimation and inverse problems
- 参数估计和反问题的重要性就不多说了,我们经常用到最小二乘就是其中之一。(The importance of parameter estimation and inverse problem is not much said. We often use least square is one of them.)
多级最小二乘
- 多级最小二乘参数估计算法,能够估计ARX结构的模型的参数(multi-level least square parameter estimation algorithm, suitable for estimating the parameters of an ARX model)
Class1
- 最小二乘法(又称最小平方法)是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据,并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。(The least square method (also called the least square method) is a mathematical optimization technique. It m
概念
- 相关性、平均值、标准差、相关系数、回归线及最小二乘法概念(The concepts of correlation, mean value, standard deviation, correlation coefficient, regression line and least square method)
系统参数辨识+matlab+实现
- 对该模型参数辨识采用递推最小二乘法,即RLS( recurisive least square),它是一种能够对模型参数进行在线实时估计的辨识方法(parameter identification)
DVHop
- 针对基于双曲线定位的DV-Hop算法中误差项的异方差性引起的定位误差大的问题,提出了一种基于加权双曲线定位的DV-Hop改进算法。算法分析了基于双曲线定位的DV-Hop算法模型中误差项的异方差性,用加权最小二乘法对异方差性进行纠正,对加权最小二乘法中的权值矩阵进行了推导并得到与跳数相关的最佳权值矩阵,使得误差项满足同方差性,所得估计值更加接近最佳线性无偏估计。仿真实验结果表明,所提算法在节点定位精度上较现有的基于双曲线定位的DV-Hop算法都有一定提高。(Aiming at the proble
LMS of image
- 最小二乘影像匹配,提高影像匹配控制点精度,有详细注释文档,(least square image matching to improve the accuracy of image matching control points, and detailed annotated documents.)
CurveFitProgram
- 使用最小二乘曲线,来实现曲线的拟合。并输出拟合后的参数。(The curve fitting is realized by using the least square curve. And output the parameters after fitting.)
matlab编写的增广的最小二乘辨识程序
- matlab曾广最小二乘辨识程序,利用增广最小二乘法编写程序,完成系统辨识(Matlab once wide least square identification program)
基于最小二乘法RBF神经网络MATLAB程序
- 基于最小二乘法RBF神经网络MATLAB程序,采用最小二乘法及RBF神经网络完成系统辨识(RBF neural network MATLAB program based on least square method, using least square method and RBF neural network to complete system identification)
least_square
- 利用最小二乘法实现手写体数字识别,采用mnist数据集(simple program using least-square)
最小二乘
- matlab实现数据补缺,采用的是最小二乘法和平均值填补,补缺的数据用特殊颜色标记。(Matlab realization of data deficiency, least square method)
PhaseUnwrapping_CPULSI
- 该进的最小二乘解包裹。鲁棒性和效率都有提高。(least square unwrap ,robust ,faster)
estimation
- 用的是estimation加权最小二乘法状态估计法, 主要思想: 1、建立一个生成zdatas.m的函数,函数中先调用潮流计算; 2、电压幅值结果在潮流结果的bus变量中;节点注入功率量测取PQ节点负荷值的相反数;传输功量测取branch中的传输功率值。 3、对上一步提到的量测值随机添加白噪声; 4、视算例所要分析的问题,确实是否设置坏数据,若是,则设置; 5、将添加白噪声和坏数据后的量测输出到zdatas.m文件中。(The main idea is to use the estim
RLS
- 锂离子电池内部参数辨识,带有遗忘因子的最小二乘算法(Internal parameter identification of lithium ion battery and least square algorithm with forgetting factor)
rls
- 本函数为迭代最小二乘算法,用于拟合曲线,已经通过验证(This function is an iterative least square algorithm, which is used to fit the curve, and has been verified.)
算法大全
- 回归分析,神经网络讲解及代码,时间序列模型分析及代码,多元分析代码及讲解、偏最小二乘代码及讲解、(Regression analysis, neural network explanation and code, time series model analysis and code, multiple analysis code and explanation, partial least square code and explanation,)
算法大全
- 回归分析,神经网络讲解及代码,时间序列模型分析及代码,多元分析代码及讲解、偏最小二乘代码及讲解、(Regression analysis, neural network explanation and code, time series model analysis and code, multiple analysis code and explanation, partial least square code and explanation,)