递推偏最小二乘法,recursive partial least-squares algorithm(RPLS)
1)recursive partial least-squares algorithm(RPLS)递推偏最小二乘法
1.A robust recursive partial least-squares algorithm(RPLS) was proposed to solve the large computation burden problem of outlier detection algorithm in regression for time-varying system or massive data.针对时变模型建模或大数据量情况下建模过程中的野点检测问题,提出了鲁棒递推偏最小二乘法(RRPLS)。
英文短句/例句
1.Recursive Partial Least-squares Modeling of Aromatics and Olefins in Gasoline递推偏最小二乘法的油品芳烃烯烃成分建模
2.Improved block-wise recursive partial least square modeling method and its application改进块式递推偏最小二乘建模方法及应用
3.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
4.Boosting Partial Least Squares and Its Applications in Data Mining助推偏最小二乘法(BPLS)及其应用
5.RLS Algorithm on Array Antenna with Failure Cells;阵列天线单元失效的递推最小二乘算法应用
6.Application of Recursive Least Square Method to Angular Error Checking递推最小二乘法在角位置误差检定中的应用
7.Recursive extended least squares identification method based on auxiliary models基于辅助模型的递推增广最小二乘辨识方法
8.least squares collocation最小二乘配置法，最小二乘拟合推估法
9.Data Analysis Based on Hierarchical Partial Least-squares Regression;基于递阶偏最小二乘回归的数据分析
10.Recursive least-squares and minimum-norm algorithm for system identification without persistent excitation condition非持续激励条件下系统辨识递推最小二乘最小范数算法
11.Application of the Extented Forgetting Factor Recursive Least Squares Estimator to GPS;推广的遗忘因子递推最小二乘算法在GPS中的应用
12.Modeling approach to nonlinear MISO sensor system based on B-spline recursive least-squares基于B样条递推最小二乘的非线性MISO传感器系统建模方法
13.Study of SINS alignment based on weighted recursive least squares algorithm加权递推最小二乘的捷联式惯导系统初始对准方法研究
14.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
15.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
16.In this paper, Two Different Concepts for the Recursion of Least Square Estimation is Introduced.本文阐述了两类不同概念的递推最小二乘估计。
17.The PLS Variable Selection Method and Its Application;偏最小二乘变量筛选法及其应用研究
18.A new application of multiblock partial least squares regressionMultiblock偏最小二乘方法的新应用
相关短句/例句
recursive partial least squares递推偏最小二乘
3)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 withrecursive 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.Therecursive 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 therecursive 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。
4)RLS递推最小二乘法
1.Application ofRLS in warning controller;递推最小二乘法在警戒控制器上的应用
2.RLS parameter identification and emulate based on matlab/simulink;基于MATLAB的递推最小二乘法辨识与仿真
3.Its parameters are identified with the Recursive Least Square method(RLS).建立了水轮机调节系统被控对象的非线性模型,用递推最小二乘法(RLS)对被控对象进行参数辨识。
5)recursive least square algorithm递推最小二乘法
1.Then,the coefficients of consequent components in T-S fuzzy logic controller were to be determined withrecursive least square algorithm for the empirical data while the membership function parameters of input variable were unaltered.此方法分为三个阶段,第一阶段依据输入变量的范围来确定输入变量的高斯型隶属度函数;第二阶段在不改变输入变量隶属度函数的前提下,对经验数据施加递推最小二乘法以确定T-S模糊控制器的后件系数;第三阶段,使用梯度下降方法同时优化控制规则的前件参数和后件参数。
6)recursive least squares method递推最小二乘法
1.Based on system identification withrecursive least squares method,the NLJ optimizing algorithm is used to tune the PID control parameters.在运用递推最小二乘法在线辨识系统模型参数的基础上,采用NLJ方法(随机数直接搜索法)以ITAE(时间乘误差绝对积分)指标最优为目标对PID控制参数寻优整定。
2.Based on Hankel s matrix method and augmented least square recursive algorithm,the paper features therecursive least squares method of nonlinear parameter estimation with forgetting factor by introducing the constraint indicator of .依据Hankel矩阵法,在参数估计准则函数中加入待估参数的增量约束项和遗忘因子,并结合增广最小二乘递推算法,提出一种具有遗忘因子的非线性参数估计的递推最小二乘法。
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。
