Abstract
Freeman's KIII model, a nonlinear dynamic software version of the olfactory system, has been applied for classifying drugs via their preprocessed IR spectra. In this paper, singular-value decomposition (SVD), rather than Euclidean distance classifiers, are successfully introduced to analyze the generated spatial amplitude modulation patterns. Results are compared and discussed.
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