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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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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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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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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localization algorithm using weighted least square method.
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