Author: E.K. Algazinov, M.A. Dryuchenko, D.A. Minakov, A.A. Sirota, V.A. Shul'gin (Voronezh, Russia)
Measurement Techniques,, Volume 57, Issue 1, pp 54–61 (April 2014)
DOI: https://doi.org/10.1007/s11018-014-0406-3
Abstract
The recognition of the components of grain mixtures based on measurements of the reflection and luminescence spectra to increase the photoseparation efficiency is considered. Methods of measuring the spectra are presented, as well as the results of comparative investigations of the characteristics of the algorithms for recognizing the components of grain mixtures from their spectral characteristics.
Keywords
Real-time separation, system reflection and luminescence spectra, neural network, support vector method
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