1) Sequential UDcovariance factorization algorithm
序贯UD协方差分解算法
2) UD factorization
UD分解
1.
The form of model is proposed by principle analysis for ZR-250-7GD8 Vacuum Brazing Furnace, then the mathematic model is identified by UD factorization of Condensed Information Matrix (CIM) according to the experimental input-output data , and the validation of the identified model is testified at last.
然后利用实验输入、输出数据 ,采用信息压缩矩阵的UD分解对系统数学模型进行了辨识 ,并对辨识获得的模型进行了验证 。
3) covariance arithmetic
协方差算法
1.
The paper measured the solid state sound of far pint when a train moving in the rail,and analyzed its wave guide effect,a mending covariance arithmetic is used to analyze the PSD of solid-state sound,the alarm system was designed for forcasting the approaching train base mit.
分析了列车运行时轮轨激励声及在钢轨中传播的“波导效应”,进行了现场钢轨中固体声信号随列车接近时变化的远点测量,利用改进的协方差算法分析了该固体声功率谱密度,得到列车接近时固体声信号变化特点,设计了一种预报列车接近的报警系统。
2.
The PSD of the solid state sound was estimated in mending covariance arithmetic.
本文基于对列车运行时轮轨激励声及其在钢轨中传播的“波导效应”分析,设计了在远处测量钢轨中固体声信号随列车接近时变化的检测系统,利用改进的协方差算法分析了该固体声的功率谱密度,找出了列车接近时声信号变化特点,为预报列车的接近提供了实验分析。
4) Sequential algorithm
序贯算法
1.
The main formulae, for the real time sequential algorithm of the regression memory, that consider the influence of the new observations on the unknown parameter rather than the older observations and the real time sequential algorit.
文中基于序贯算法 ,针对新观测值对未知参数估计的影响比陈旧观测值要大和用固定数目的最新观测值来确定未知参数的估计 ,导出了渐消记忆与限定记忆的实时序贯算法的主要公式 ,以达到快速计算的目的。
5) sequential method
序贯方法
6) matrix UD decomposition
矩阵UD分解
1.
In addition,the recursive least square based on matrix UD decomposition is used to confirm the conclusion parameters of fuzzy model for the sake of accumulating and transferring o.
另外,为了克服递推最小二乘出现的误差积累、传递现象,采用基于矩阵UD分解的递推最小二乘方法确定模糊模型的结论参数,从而实现模糊模型的结构和参数优化。
补充资料：协序
1.调和使有规律。
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