1) recursive PCA
递推主元分析
2) RPCA
递归主元分析
1.
In allusion to the characteristic of slow time-varying, non-stationary and MIMO for normal cooling process in continuous casting, an improved recursive principal component (RPCA) was presented to monitor the reliability of data in secondary cooling process.
针对正常连铸冷却过程慢时变、非稳态和多输入多输出特性,提出了基于改进递归主元分析方法监控连铸二冷配水过程数据的可靠性,这其中包括了用于建模的协方差阵、主元和两种报警控制限的递归更新,并通过小波除噪消除样本数据的噪声和奇异点。
3) principal component regression analysis
主元递归分析法
5) recursive analysed method
递推分析法
6) principal component analysis
主元分析
1.
Application of improved principal component analysis method to mould process monitoring in continuous casting;
改进的主元分析法在连铸结晶器过程监测中的应用
2.
The application of principal component analysis on sEMG signals analysis during slips;
主元分析在研究滑倒时肌电信号中的应用
3.
A method for truss structural damage detection based on principal component analysis;
基于主元分析的网架结构损伤识别方法
补充资料：推东主西
1.犹言推三阻四。
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