WSEAS Transactions on Systems
Print ISSN: 1109-2777, E-ISSN: 2224-2678
Volume 18, 2019
Automatic model based on Artificial Neuronal Networks to predict the emissions of Carbon Dioxide (CO2)
Authors: , ,
Abstract: This research work is based exclusively on the application of artificial neural networks, aimed at predicting 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 predicted by the system were checked, demonstrating that it is a highly accepted model for prediction, favoring the planning processes.
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Keywords: carbon dioxide prediction, artificial neural networks, conceptual model, Backpropagation, Levenberg- Marquardt method, pollution
Pages: 245-252
WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 18, 2019, Art. #31