Error"whitening model"or "quasi-whitening model"and error transmission"whitening model"of the dynamic measuring system are built according to the theory of whole system dynamic precision. The error decomposition and tracing of dynamic measurement system are carried out through analysing mixed chart.
基于全系统动态精度理论及其建模方法,建立实际测量系统的“白化”或“准白化”模型,以及输出总误差的“白化”模型,利用混合谱分析的方法对动态测试系统进行误差分解与溯源。
参考来源 - 动态误差分解与溯源理论与方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
By using neural networks as the approach for whitening system cloud gray model, the system cloud gray neural network models SCGNNM (1, 1), were proposed in this paper.
利用人工神经网络的方法实现系统云灰色模型的参数白化，提出了系统云灰色神经网络模型SCGNNM(1,1)，并给出了相应的学习算法。
The algorithm uses a predictive model that makes whitening treatment of the obsevations and a predictive deconvolution (PDC) method to estimate the MA parameters.
本文导出了预测反卷积法（PDC）的多步迭代形式，以改进参数估计。
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