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

Abstract:

This research work is based exclusively on the application of artificial neural networks to predict 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 prediction model based on Artificial Neural Networks. It is proposed to use the feedforward neural network together with the backpropagation algorithm in order to obtain prediction 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.