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According to the monitoring and analysis of chloroform in the water distribution network in a northern city of China, the variations of chloroform in the water distribution network and the major influence factors were studied. Using principle component analysis method, the prediction model which including 9 water quality indexes was established to predict the concentration of chloroform and the average...
This paper proposes a new face recognition approach by using Kernel Principal Component Analysis (KPCA) and hybrid Flexible Neural Tree (FNT) classification model. To improve the quality of the face images, a series of image pre-processing techniques, which include histogram equalization, edge detection and geometrical transformation etc. The KPCA is employed to extract features for reducing the dimension...
In this paper, a new approach using independent component analysis (ica) and hybrid Flexible Neural Tree (FNT) is put forward for face recognition. To improve the quality of the face images, a series of image pre-processing techniques, which include histogram equalization, edge detection and geometrical transformation are used. The ICA based on Kernel principal component analysis (KPCA) and FastICA...
A novel method for feature extraction based on T-statistic criterion is put forward and introduced for P300 potential detection in brain-computer interface (BCI) applications. After decorrelation by principal component analysis (PCA), the optimized weighted sum of EEG signal is computed to construct the features. Applied to P300 speller paradigm of BCI competition 2003 and BCI competition III (2005),...
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