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In the analysis of predicting financial distress based on support vector machine (SVM), irrelevant or correlated features in the samples could spoil the performance of the SVM classifier, leading to decrease of prediction accuracy. On the other hand, the improper determining of two SVM parameters will cause either over-fitting or under-fitting of a SVM model. In order to solve the problems mentioned...
Visible and near infrared spectroscopy (Vis/NIR) combined with chemometric methods was employed to classify rice wines with different ages. Spectra of 240 wine samples (80 for each year) were collected in the Vis/NIR region (325-1075nm) in the spectroradiometer in transmission mode. Partial least squares (PLS) analysis was applied to extract the principal components (PCs) as new eigenvectors to represent...
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