搜索资源列表
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2下载:
加权最小二乘法&最大最小化优化算法
weighted least-squares + weighted min-max optimization ,Weighted least square method
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强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程
-Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For wei
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加权总体最小二乘matlab工具箱,包含各种总体最小二乘算法的源代码-weighted total least squares toolbox
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不加权最小二乘算法。用于系统辨识学习之用。-non-weighted least square method
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fit_maxwell_pdf - Non Linear Least Squares fit of the maxwellian distribution.
given the samples of the histogram of the samples, finds the
distribution parameter that fits the histogram samples.
fits data to the probability of the form:
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fit_rayleigh_pdf - Non Linear Least Squares fit of the Rayleigh distribution.
given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples.fits data to the probability of the form: p(r)=r*exp(-
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基于加权最小二乘法的状态估计, 此代码为六节点,可进行电力系统状态估计-state estimation based on WLS (weighted least square)
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加权递推最小二乘算法matlab仿真程序,用于系统辨识-Weighted recursive least square algorithm matlab simulation program, used for system identification
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The Recursive least squares (RLS) is an adaptive filter which recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This is in contrast to other algorithms such as the least mean
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实现基于加权最小二乘法的电力系统状态估计算法,以于老师写的书里面四节点算例仿真-Implementation based on weighted least-square method of power system state estimation algorithm, with the teacher wrote the book four node example simulation
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电力系统加权最小二乘法状态估计14节点或33节点都能运行-Weighted least square method for power system state estimation of 14 nodes or 33 nodes can run
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this a weighted least square algorithm
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最小二乘算法,用于数据处理,图像处理,深度学习等等(Application of weighted least square method to machine vision system)
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RLS 递归最小二乘滤波器算法!!!!!!!!!!!!!!!!!!!!!(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This approach is in
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this is a Matlab code to create an indoor positioning system by using a weighted least square algorithm
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localization algorithm using weighted least square method.
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递归最小二乘(RLS)是一种自适应滤波算法,它可以递归地找到最小化加权线性最小二乘代价函数与输入信号相关的系数。这种方法与其他算法相比较,例如最小均方(LMS),旨在减少均方误差。在RLS的推导中,输入信号被认为是确定性的,而对于LMS和类似的算法,它们被认为是随机的。(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimiz
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对最小二乘的参数进行重新加权,实现迁移学习并预测(Least-square importance weighted, transfer learning and prediction)
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