误差平方 meaning in Chinese
square-error
Examples
- In principle, weights should be 1/(s. e. )2 .
原则上，权应该是标准误差平方的倒数。 - In addition , in order to compare with rbf , we construct dls - rbf network as a by - product of this paper
此外，为实现与rbf的比较，构建了基于误差平方准则的dls - rbf网络作为本文的副产品。 - In the implementation process , expert knowledge that easy to imply was concluded based on system distinguishing and maintainer ' s experience . in , the following practice in realization , we put forward parameter optimizing method using statistics theory to optimizing pid parameters , and have comparisons visually on different control policies and parameters
在随后的现场实现过程中，又针对pid控制参数难以整定的问题，创新性地提出了基于数理统计的离线参数寻优方法，通过对误差平方积分等指标的统计，形象地作出了各种控制方法和参数设置下的控制效果横向比较。 - During the course of the research , the criterions of the interpolation effect are mean error ( me ) , mean absolute error ( mae ) , root mean squared interpolation error ( rmse ) and the difference of mean square deviation between the measured and the estimated surface air temperature . the conclusions are as follows : ( 1 ) by contrasting the gaussian weighted model associated with the error modification with the gaussian weighted model , the error modification is proved to considerably ameliorate the precision of spatial interpolation ; ( 2 ) on the base of the gaussian weighted model , taking altitudinal effect into account can reflect the trend in which temperature changes according to the topographic altitude and may ameliorate the precision of spatial interpolation correspondingly and apparently , which indicates that topographical effect on the preciseness of spatial interpolation can not be disregarded in terms of the region with complicated topography ; ( 3 ) the map of daily surface air temperature distribution , using the modified gaussian weighted model a and b , can accurately reflect the temperature - changing - with - topographical - altitude trend . among them , the better is the model a , whose me is below 0 . 03 ?
在此过程中，采用平均误差( me ) ，平均绝对误差( mae ) ，插值平均误差平方的平方根( rootmeansquaredinterpolationerror ，简称rmsie ) ，插值前后测站要素值的均方差( meansquaredeviation ,简称msd )差值作为判定插值效果的标准，得出如下结论：通过高斯权重法与结合逐步订正的高斯权重法的对比，说明结合逐步订正方案的高斯权重法可大大提高地面日气温的插值精度；在高斯权重法中加入海拔影响项可以反映出温度随地形高度的变化趋势，同时也能较大地提高地面日气温的空间插值精度，说明在地形复杂的区域，地形影响在插值精度中是不可忽略的；对于高斯权重法的两种改进方案得到的地面日气温分布图都能很好地反映出表面大气气温随地形高度的变化趋势。