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In this paper, recursive multi-way principal component analysis (MPCA) is applied to the batches of chromium sludge recycling process for the detection of faults without false alarms. The data matrix is being augmented sample wise to reflect the process changes in MPCA. Multivariate statistical process control (MVSPC) techniques; Hotelling's T and squared prediction error; Q, based on PCA have facilitated...
In this paper, an efficient method for face recognition using principal component analysis (PCA) and radial basis function (RBF) neural networks is presented. Recently, the PCA has been extensively employed for face recognition algorithms. It is one of the most popular representation methods for a face image. It not only reduces the dimensionality of the image, but also retains some of the variations...
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