1) Weighted limited memory regression
加权限定记忆回归
2) fixed memory
限定记忆
1.
Recursive fixed memory extended least squares method and simulation research
增广最小二乘限定记忆参数估计算法与仿真
2.
In this part, fixed memory length has been combined with recursive extended least squares method, so the recursive fixed memory extended least squares method (RFMELS) is obtained.
增广最小二乘限定记忆参数估计算法与仿真研究最小二乘辨识是一种经典的参数估计方法,成为估计理论的奠基石。
3.
In the paper,the Recursive Accessorial Variable method is combined with fixed memory length,so the Recursive Fixed Memory Accessorial Variable(RFMAV) method is obtained.
具有限定记忆的辅助变量参数辨识方法与仿真研究最小二乘辨识法是一种最基本的辨识方法,简单、实用,其递推算法收敛可靠,并且当模型噪声为白噪声时,可得到无偏、一致和有效的估计,从而得到广泛的应用。
3) weighted regression
加权回归
1.
With the kernel weight based on similarly between target gene and sample genes,which localize missing value estimation,a new method based on weighted regression is presented.
利用相似性信息的核加权函数来实现缺失值回归估计的局部化,提出了基于加权回归估计的基因表达缺失值估计算法。
2.
The weighted regression and nonlinear fitting model parameter optimization method are adopted to make regression analysis of observed data of landslide in different length of period.
采用加权回归和非线性拟合模型参数优化方法 ,对不等时距的滑坡监测资料进行回归分析 通过实例计算 ,证明了上述方法的有效性 ,提高了建模精
5) regression weights
回归加权
6) finite memory method
限定记忆法
1.
By combining block-wise recursive PLS with finite memory method, a new adaptive algorithm was proposed to build adaptive soft-sensor.
针对基于批量数据的传统偏最小二乘(PLS)模型无法随生产过程的变化而更新的问题,提出基于块式递推PLS的限定记忆法。
补充资料：加权回归
分子式：
CAS号：
性质：如果回归线上的各点的精度不同，对各点赋以不同的权值，用加权最小二乘法确定回归系数，拟合回归方程和回归线。
CAS号：
性质：如果回归线上的各点的精度不同，对各点赋以不同的权值，用加权最小二乘法确定回归系数，拟合回归方程和回归线。
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