Mostrando 5 resultados de: 5
Filtros aplicados
Subtipo de publicación
Article(5)
Área temáticas
Métodos informáticos especiales(2)
Química analítica(2)
Ciencias de la computación(1)
Enfermedades(1)
Funcionamiento de bibliotecas y archivos(1)
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:scopusEvaluation 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:scopusDiscrimination of Venezuelan spirituous beverages by a trace element-radial basis neural network approach
ArticleAbstract: Radial basis neural networks (RBNNs) were developed and evaluated for discrimination of specimens ofPalabras claves:Cocuy, Copper, Iron, radial basis neural networks, Spirituous beverages, ZincAutores:Ávila de Hernández R.M., Capote-Luna T., Francklin Rivas, Hernández-Caraballo E.A.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