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Conceptual model based on artificial neural networks oriented to the pbkp_rediction of carbon dioxide (CO2) as a pollution index

Abstract:

This research work is based exclusively on the application of artificial neural networks to pbkp_redict CO2 emissions, linking the results with the need to assist in the processes of analysis, planning and decision making for the reduction of the aforementioned pollutant, through the development of a conceptual pbkp_rediction model based on Artificial Neural Networks. It is proposed to use the feedforward neural network together with the backpropagation algorithm in order to obtain pbkp_rediction results with a minimum of errors, for the development of the present model the city of Santo Domingo de los Colorados has been proposed as a case study. Ecuador.