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Automatic model based on Artificial Neural Networks to pbkp_redict the emissions of Carbon Dioxide (CO<inf>2</inf>)
ArticleAbstract: This research work is based exclusively on the application of artificial neural networks, aimed at pPalabras claves:artificial neural networks, Backpropagation, Carbon dioxide pbkp_rediction, Conceptual model, Levenberg-Marquardt method, PollutionAutores:Gabriela M. Mafla, José Herrera-Herrera, Méndez E.F.Fuentes:scopusConceptual model based on artificial neural networks oriented to the pbkp_rediction of carbon dioxide (CO2) as a pollution index
Conference ObjectAbstract: This research work is based exclusively on the application of artificial neural networks to pbkp_redPalabras claves:artificial neural networks, Co2, Conceptual model, Feedforward, pbkp_redictionAutores:Erik Fernando Mendez Garces, Gabriela M. Mafla, José Herrera-HerreraFuentes:scopusArtificial neuronal networks to pbkp_redict the emissions of carbon dioxide (Co2) using a multilayer network with the levenberg-marquadt training method
ArticleAbstract: This research work is based exclusively on the application of artificial neural networks, aimed at pPalabras claves:artificial neural networks, Backpropagation, Carbon dioxide pbkp_rediction, Conceptual model, Levenberg-Marquardt methodAutores:Andrés Morocho-Caiza, Erik Fernando Mendez Garces, Gabriela M. Mafla, José Herrera-HerreraFuentes:scopusImplementation of an algorithm for tracking the maximum power point of a solar panel by a pbkp_redictive control system based in model
ArticleAbstract: The present investigation proposes a mathematical model of a solar panel, based on a Pbkp_redictivePalabras claves:Generalized pbkp_redictive control, Monitoring of the maximum power point, Pbkp_redictive control by model, photovoltaic SystemAutores:Erik Fernando Mendez Garces, Gabriela M. Mafla, Reyes F.J.Fuentes:scopus