Making use of identities of PCA, an improved Robust PCA method be developed, and it can filter invalidation samples which could not mapped
利用主元分析方法的特性,用改进的鲁棒PCA方法对采集来的现场数据进行样本筛选,去掉不能正确映射过程输入输出变量间关系的无效样本,提高建模的可靠性。
参考来源 - 多变量统计过程控制在炼油生产过程中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
The new robust PCA algorithm can recognize the outliers in the sample set automatically and exterminate their effects to the accuracy of the PCA algorithm through proper processing to the outliers.
修正PCA算法能够在运行过程中自动地识别样本集之中的“劣点”，从而通过迭代计算加以适当处理来排除对运算精度的影响。
The new robust PCA algorithm can recognize the outliers in the sample set automatically and exterminate their effects to the accuracy of the PCA algorithm through proper processing to the outliers.
该鲁棒pca算法能够在运行过程中自动地识别样本集之中的“劣点”，从而在迭代训练中加以适当处理来排除对运算精度和收敛性的影响。
The result of experiment shows that KICA is more accurate and robust than other conical ICA and PCA in the BBS.
实验表明在盲源信号分离中，基于核空间的ICA与其他典型ICA和PCA算法相比更具有准确性和鲁棒性。
应用推荐