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Evaluation of a generalized regression artificial neural network for extending cadmium's working calibration range in graphite furnace atomic absorption spectrometry
ArticleAbstract: A generalized regression artificial neural network (GRANN) was developed and evaluated for modelingPalabras claves:artificial neural networks, Cadmium, Calibration curve, Graphite furnace atomic absorption spectrometry (GFAAS), ModelingAutores:Ávila de Hernández R.M., Francklin Rivas, Hernández-Caraballo E.A.Fuentes:scopusEvaluation of chemometric techniques and artificial neural networks for cancer screening using Cu, Fe, Se and Zn concentrations in blood serum
ArticleAbstract: It is known that variations in the concentrations of certain trace elements in bodily fluids may bePalabras claves:Artificial Neural Networks (ANNs), Backpropagation neural network (BpNN), Cáncer, Copper, Iron, logistic regression, Principal components analysis (PCA), Probabilistic neural network (PrNN), selenium, Serum, ZincAutores:Francklin Rivas, Hernández-Caraballo E.A., Marcó-Parra L., Pérez A.G.Fuentes:scopusIncreasing 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