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Automatic model based on Artificial Neural Networks to pbkp_redict the emissions of Carbon Dioxide (CO<inf>2</inf>)

Abstract:

This research work is based exclusively on the application of artificial neural networks, aimed at pbkp_redicting the CO2 pollution index. For the design of the ANN, a multilayer network of Backpropagation type has been created and the Levenberg-Marquardt method was used for its training. The neural network consists of three layers: input (Input), hidden (Hidden Layer) and output (Output); the architecture was generated with Matlab software. Good quality results were obtained when the actual values and those pbkp_redicted by the system were checked, demonstrating that it is a highly accepted model for pbkp_rediction, favoring the planning processes.