A method based on multiway kernel principal component analysis (MKPCA) was proposed to capture the nonlinear characteristics of normal batch processes.
为此提出了一种多向核主元分析(MKPCA)算法用于间歇过程的建模与在线监测。
Using the method of principal component Analysis based on the sample data of 65 individuals with normal pulmonary function, we obtained the first and second principal components.
根据65例正常肺功能的样本数据，应用主成份分析方法，我们算得第一、第二主成份。
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