Contribution Based on Neurons Networks for the Prediction of Greenhouse Gas Emissions in a Handling Port
Year: 2024
Type: article
Abstract: Greenhouse gases emitted by ships and port handling equipment contribute enormously to the climate change, which is why our reflection in this paper focusses on its quantification. This study is performed to predict the amount of greenhouse gases during the unloading and loading operations of ships at the quayside in a seaport. After developing a model whose resolution allowed us to obtain a solid database, we performed a simulation using the Levenberg-Marquart algorithm using artificial neural networks. The results allowed us to determine the performance of our machine-learning model.
DOI: 10.3233/ajw240094
Authors: Kone Bakary, Dosso Mouhamadou, Traore Seydou
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: hybrid
OpenAlex ID: W4412620633