Contribution Based on Neurons Networks for the Prediction of Greenhouse Gas Emissions in a Handling Port

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.