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

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.