A method of parameter estimation for multi-dimension autoregressive models (ar, NLAR) via neural network is given in this paper.
本文提出一种基于神经网络的多维自回归模型(AR,NLAR)参数估计方法。
Then it applies the method of parameter estimation based on the model of parameters-subsystem parameters function to the fault detection of servo system.
之后，应用基于模型参数-子系统参数关联方程的参数估计方法，对伺服系统进行故障诊断。
Based on the theory of fuzzy set, the paper presents a new method of parameter estimation-maximum possibility estimation restricted by least uncertainty.
以模糊集合理论为基础，提出了最小不确定度约束下的极大可能性估计准则、解算方法和迭代步骤。
Incorporating the power load modelling for Northeastern District, the selection of load model, the method of parameter estimation and field tests, etc. are expounded.
结合东北地区负荷建模工作，在负荷模型的选择、参数估计方法以及现场试验等几方面进行了阐述。
New method of parameter estimation for time varying non linear distributed systems is proposed in term of orthogonality of orthogonal polynomial and differential operation matrix.
利用正交多项式序列的正交性及微分算子矩阵，论述了时变非线性分布参数系统参数估计的正交多项式法。
New method of parameter estimation for time varying non linear distributed systems is proposed in term of orthogonality of orthogonal polynomial and differential operation matrix.
利用正交多项式序列的正交性及微分算子矩阵，论述了时变非线性分布参数系统参数估计的正交多项式法。
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