1) generalized least squares estimator
一般化最小二乘推定量
2) ordinary least square
一般最小二乘
1.
METHODS: The discretion between PLS and OLS (ordinary least square) stepwise regression was shown by a case.
方法 :采用实证方式比较PLS与一般最小二乘 (ordinaryleastsquare,OLS)逐步回归的优劣 。
3) multiple linear
一般最小二乘回归
4) Incremental recursive least square
增量递推最小二乘
5) recursive batch least square
递推批量最小二乘
1.
to reduce the computational complexity of volterra on-line identification that based on the batch least square algorithm and to void the correlation matrix becoming ill-conditioned, a recursive batch least square based Volterra identification method is proposed in this paper.
针对用批量最小二乘方法进行 Volterra级数在线辨识计算量大 ,所需数据存储空间多 ,以及实际应用时自相关矩阵易出现病态的不足 ,提出了一种基于递推批量最小二乘的 Volterral级数辨识方法 。
6) recursive least square
递推最小二乘法
1.
To overcome the large memory expense in the process of on-line identification by utilizing support vector machine(SVM), least squares support vector machine (LS-SVM) was combined with recursive least square(RLS), the weigh vector and bias were adjusted on-line by RLS algorithm, and on-line identification of inverse dynamic model of system was realized.
为克服支持向量机(support vector machine,SVM)在线辨识过程需要较大的内存开销的问题,该文将递推最小二乘法(recursive least square,RLS)与最小二乘支持向量机(least squares support vector machine,LS-SVM)回归相结合,利用RLS在线调整支持向量机的权向量和偏移量,实现了系统逆动力学模型的在线辨识。
2.
The recursive least square can regulate the Q and R matrix dynamicly and rapidly.
针对Riccati方程中系数矩阵Q和R的调整需凭经验和多次试凑的不足,采用递推最小二乘法对系数矩阵进行在线调整,使系数矩阵的参数进行在线优化,更好地发挥了LQR控制器的优势。
3.
Firstly,the method establishes a heat balance model through modifying the parameter of academic reac- tion heat balance expressions using the recursive least square method.
提出了一种吹炼剩余热组合预测模型,以便能根据剩余热准确确定冷料的加入量,提高冷料的使用率;首先,基于吹炼的化学反应过程得到的剩余热计算公式,采用递推最小二乘法,修正剩余热计算公式,建立热量衡算模型;然后,利用递推最小二乘法,修正剩余热计算经验公式;最后采用组合预测算法综合集成两种模型作为剩余热计算的预测模型;实际应用结果表明:利用集成方法建立的预测模型的相对误差控制在10%的波动范围内,具有较高的预测精度。
补充资料：一般无二
1.完全相同，毫无两样。
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