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Classification of Venezuelan spirituous beverages by means of discriminant analysis and artificial neural networks based on their Zn, Cu and Fe concentrations
ArticleAbstract: Copper, zinc and iron concentrations were determined in "aguardiente de Cocuy de Penca" (Cocuy de PePalabras claves:Artificial Neural Networks (ANNs), Backpropagation algorithm, classification, Cocuy, Copper, Iron, Linear discriminant analysis (LDA), Quadratic Discriminant Analysis (QDA), Spirituous beverages, ZincAutores:Avila-Gómez R.M., Capote T., Francklin Rivas, Hernández-Caraballo E.A., Pérez A.G.Fuentes:scopusOptimum phase-behavior formulation of surfactant/oil/water systems for the determination of chromium in heavy crude oil and in bitumen-in-water emulsion
ArticleAbstract: An "oil in water" formulation was optimized to determine chromium in heavy crude oil (HCO) and bitumPalabras claves:Chromium, ET AAS, Heavy crude oils, Three-phase behaviorAutores:Avila-Gómez R.M., Bracho C.L., Brunetto R., Burguera M., Burguera-Pascu C., Burguera-Pascu M., De Peña Y.P., De Salager R.A., Luis Burguera J., Maximo Gallignani, Salager J.L.Fuentes:googlescopusIncreasing the working calibration range by means of artificial neural networks for the determination of cadmium by graphite furnace atomic absorption spectrometry
ArticleAbstract: Feed-forward artificial neural networks (ANNs), trained with the generalized delta rule, were evaluaPalabras claves:Artificial Neural Networks (ANNs), Backpropagation, Cadmium, Calibration curves, Graphite furnace atomic absorption spectrometry (GFAAS)Autores:Avila-Gómez R.M., Burguera M., Francklin Rivas, Hernández-Caraballo E.A., Luis Burguera J.Fuentes:scopus