"Sequential least squares + recursive + least squares (RLS)" is an advanced technique widely used in the fields of signal processing and machine learning. This approach is particularly effective for processing time-series data and solving linear regression problems in real-time. In this method, new data points are incorporated into the model one at a time, allowing for efficient updating of the model parameters. By recursively updating the solution, the RLS algorithm can adapt to changing input data and provide accurate predictions. This collection provides a comprehensive range of English sentences and examples related to RLS, offering a valuable resource for learners and practitioners to gain a deeper understanding of this powerful approach.
序贯最小二乘,recursive least squares(RLS)
1)recursive least squares(RLS)序贯最小二乘
1.To estimate systemic errors of multi-sensors in real-time,the registration algorithm based on recursive least squares(RLS) for multi-sensors is presented,concerning for the generalized least-squares estimation(GLS) algorithm being not used for estimating sensors error in real-time.为实时估计多传感器系统偏差,针对广义最小二乘(GLS)配准方法不能实时估计传感器偏差的问题,提出了基于序贯最小二乘的多传感器误差估计方法,该方法在GLS配准模型基础上,采用最小二乘的序贯方法来估计系统偏差,不必存储过去的测量数据,能够实时估计系统偏差。
2)Sequent least square method序贯最小二乘法
3)sequential least squares estimation序贯最小二乘估计
4)sequential conditional least-squares序贯条件最小二乘
5)least square method最小二乘
1.Research on data fusion algorithm of redundancy information based onleast square method基于最小二乘法的冗余信息数据融合算法实现
2.The relative coordinate for straightness error is set up, the discrete values in coordinate are linked based onleast square method, then coordinate transform is realized, some eddy genes and contained area conforming to least condition are confirmed using numerical method, the evaluation of straightness error is achieved by compare.建立直线度误差的相对坐标,基于最小二乘对坐标内的离散点进行曲线拟合,而后对其进行相似坐标变换,利用数值分析方法得到坐标变换的一系列旋转因子(旋转参数)与满足最小条件的包容区域,最后通过比较法实现对直线度误差的数值判定。
英文短句/例句
1.least squares collocation最小二乘配置法，最小二乘拟合推估法
2.truncated 2 SLS截断二段最小二乘法
3.least-square best fit最小二乘方最佳拟合
4.weighted least square criterion加权最小二乘方准则
5.standard damped least-squares method标准阻尼最小二乘方法
6.generalized least squares estimator广义最小二乘估计量
7.A SIMPLE PARTIAL LEAST SQUARES ALGORITHM BASED ON LEAST ABSOLUTE DEVIATION基于最小一乘的单因变量偏最小二乘算法
8.The Least-square Solutions and Optimal Approximation of Matrix Equation;矩阵方程的最小二乘解及其最佳逼近
9.Simulation results show that the weighted least squares estimate has better properties than the least squares estimate.模拟结果表明加权最小二乘估计比最小二乘估计有优良的性质。
10.mixed three-stage least-squares estimatio混合三阶段最小二乘估计
11.joint GLS coefficient estimator联合广义最小二乘系数估计量
12.Solving Linear & Nonlinear Least Squares Problems解线性与非线性最小二乘问题
13.RECURSIVE FAST ALGORITHM FOR LEAST SQUARES ESTIMATION WITH HOUSEHOLDER TRANSFORMATION最小二乘估计的HOUSEHOLDER变换快速递推算法
14.APPLICATION OF LEAST SQUARE METHOD TO SETTLEMENT ANALYSIS OF EARTH AFD ROCKFILL DAM最小二乘法在土石坝沉陷分析中应用
15.Study on Least Squares Support Vector Machine and Its Applications;最小二乘支持向量机算法及应用研究
16.Least-Squares Galerkin Procedures for Some Evolution Equations;几类发展方程的最小二乘有限元方法
17.The Research of Base on Recursion Least Squares Voltage Flicker;基于递归最小二乘法的电压闪变研究
18.Genetic Algorithms Research Based on Nonlinear Least Squares Estimation;非线性最小二乘估计的遗传算法研究
相关短句/例句
Sequent least square method序贯最小二乘法
3)sequential least squares estimation序贯最小二乘估计
4)sequential conditional least-squares序贯条件最小二乘
5)least square method最小二乘
1.Research on data fusion algorithm of redundancy information based onleast square method基于最小二乘法的冗余信息数据融合算法实现
2.The relative coordinate for straightness error is set up, the discrete values in coordinate are linked based onleast square method, then coordinate transform is realized, some eddy genes and contained area conforming to least condition are confirmed using numerical method, the evaluation of straightness error is achieved by compare.建立直线度误差的相对坐标,基于最小二乘对坐标内的离散点进行曲线拟合,而后对其进行相似坐标变换,利用数值分析方法得到坐标变换的一系列旋转因子(旋转参数)与满足最小条件的包容区域,最后通过比较法实现对直线度误差的数值判定。
6)least square最小二乘
1.A spatial error concealment based onleast square filter;基于最小二乘滤波器的空域视频掩盖算法
2.Application of non-uniform B-splineleast square in GPS leveling height fitting;非均匀B样条函数的最小二乘法在GPS水准拟合中的应用
3.An Algorithm associated with Least Square (LS) and Adaptive Kalman Filtering;一种最小二乘与自适应Kalman联合滤波算法
延伸阅读
非线性最小二乘拟合分子式：CAS号：性质：用最小二乘法拟合非线性方程。有些变量之间的非线性模型，通过变量变换可以化为线性模型，此称为外在线性。而有些变量之间的非线性模型，通过变量变换不能化为线性模型，通称为内在非线性。对于非线性模型y=f(ξ,θ)+ε，其残差平方和。S(θ)是θ的函数，当模型关于θ是非线性的，正规方程关于θ也是非线性的。基于使残差平方和s(θ)达到极小的原理求出θ的估计值，拟合非线性回归方程。
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