1) local weight regression
局部权重回归
2) robust locally weighted regression
强局部加权回归
1.
In order to deal with software aging,a method based on robust locally weighted regression algorithm was presented to abstract aging trend from system resource usage.
针对软件老化引起系统资源损耗、系统性能恶化以及软件失效的现象,提出利用强局部加权回归算法进行软件老化趋势的提取方法。
2.
According to causing a lot of malpractice for engineering judgment,a method based on robust locally weighted regression algorithm is proposed to evaluate the aging trend of electric power equipment in the paper.
针对工程判断方法带来的各种弊端,本文提出了基于强局部加权回归算法评估电力设备老化趋势的方法。
3) LWR
局部加权回归
1.
In order to solve this problem, this paper presents LC-LWR method which can forecast the ball trajectory and determine the location of ball in a time.
但是这种方法是建立在球静止的基础上的,在场上球经常会碰撞墙壁或机器人,球的方位无法确定,为了解决这个问题,本文又引入了局部加权回归(LWR)算法,将Limit-Cycle方法和LWR方法结合(称作LC-LWR方法),利用LWR学习方法预测球的运动轨迹并确定球某时刻的位置,从而以球为目标点使机器人避开障碍物找到球。
4) dual part-return
多重局部回归
1.
Aiming at the weakness of traditional static forward feedback neural network in dynamic performance,the dual part-return Elman neural network is put forward.
针对传统静态前馈神经网络动态性能较差的缺点,提出了多重局部回归的Elman神经网络,建立了网络的基本结构,并设计了相应的学习算法和学习过程。
6) locally weighted regression
局部加权回归分析
1.
A new weight function used by locally weighted regression technique for estimation of background clutter in image sequnces with moving point targets is presented in this paper.
在含有点状运动目标的红外图像序列情况下,研究了一种基于局部加权回归分析的杂波估计技术,给出了此类估计器性能分析及其加权系数选择要求,并设计了一种加权函数。
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