1) 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。
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) local regression analysis
局部回归分析
1.
Based on the analysis of image fusion method of IHS transform and aiming at the limitations of spectrum features distortion to IHS transform,a local regression analysis fusion based on IHS transform was proposed,which adopted a model of resolution degradation.
在分析亮度-色度-饱和度(IHS)变换影像融合方法的基础上,针对IHS变换存在光谱特征扭曲的局限性,提出了一种采用分辨率退化模型的基于IHS变换的局部回归分析融合方法。
5) weighted regression analysis
加权回归分析
1.
Pressure cells were installed and monitoring data were treated by the method of weighted regression analysis,which got the steady pressure of the monitoring spots.
针对偏压连拱隧道围岩稳定性问题,采用GeoStudio软件的SIGMA模块进行数值模拟,以数值模拟的计算结果作为判断围岩稳定性的控制指标,结合现场压力盒进行监控量测,并利用加权回归分析方法对监测数据进行处理,得出各监测点实测围岩稳定压力。
6) unweighted regression analysis
不加权回归分析
补充资料：多元回归分析
多元回归分析
multiple regression analysis
用多元线性方程来描述和分析多个变量之间关系的统计分析方法。线性方程系数正、负表示正、负相关；系数权重比较表示这些变量在相关关系中贡献大小。但预报仅为大致的估计值。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条