| 1. | The algorithms of rigorous recursive least square
严格的最小二乘递推算法 |
| 2. | Flood forecasting model based on improved recursive least square method
基于递推最小二乘改进算法的洪水预报模型研究 |
| 3. | The real - time system identification is realized by recursive least square ( rls ) method , then the control law is determined based on the identified results
采用rls算法处理在线辨识问题，根据辨识结果直接进行反馈预测控制的设计。 |
| 4. | A kind of arithmetic of recursive least squares ( rls ) method with forgetting factor combined with model matching of zero frequency was adopted to identify the object online
采用了带遗忘因子的递推最小二乘和基于零频率的模型匹配的联合辨识算法对空调系统进行在线辨识。 |
| 5. | 3 ) this thesis proposed a regularized kernel recursive least square ( rkrls ) algorithm . the coefficients and error of rkrls model are gotten and the generalization ability is analyzed
3 )对递推最小二乘进行非线性的kernel变换，并采用正则化技术改写了目标函数，提出了一种rkrls算法。 |
| 6. | Based on the general uncalibrated visual servoing algorithm , this paper presents a new visual servoing control scheme which estimates pseudo - inverse of image jacobian matrix based on recursive least square algorithm
摘要在一般无标定视觉伺服算法的基础上，提出了一种基于递推最小二乘法估计图像雅可比矩阵伪逆的无标定视觉伺服算法。 |
| 7. | In the processing of high order nonlinear differential equation , this paper presents recursive least square algorithm to speed up the compute speed and guarantee the astringent . it can be included three points from the estimate result
在高次非线性方程组求解过程中，为了取到较好的初值来保证收敛性，并为了提高计算速度，采用了最小二乘法的递推算法。 |
| 8. | In the rls - td ( t ) learning algorithm , the eligibility traces mechanism and the recursive least squares methods are combined together so that better convergence properties can be obtained in learning prediction problems . 2
Rls - td ( )学习算法同时结合了递推最小二乘参数估计方法和适合度轨迹( eligibilitytraces )机制，从而能够获得比已有算法更好的收敛性能。 |
| 9. | Firstly , the initial values of cluster are obtained by hough transform , which consider the linearity and continuity , then the premise and consequent parameters are identified based on fuzzy c - means and recursive least square
首先利用hough变换的方法得到聚类中心的初始值，然后通过模糊c -均值聚类法辨识前提参数，采用递推最小二乘辨识模糊模型的结论参数。 |
| 10. | Two - stage algorithms of parameter estimation for the autoregressive moving average ( arma ) models are presented , which are called two - stage recursive least squares algorithm ( 2 - rls ) and recursive least squares - pseudoinverse algorithm ( rls - pi )
本文提出了自回归滑动平均( arma )模型的两段参数估计算法：两段递推最小二乘算法( 2 - rls )和递推最小二乘-伪逆算法( rls - pi ) 。 |
