Search results for "Greenhouse gases . Agriculture emission . Neural modeling . Multi-layer perceptron . Clustering method . UE"

Neural Modeling of Greenhouse Gas Emission from Agricultural Sector in European Union Member Countries

2018

The present paper discusses a novel methodology based on neural network to determine agriculture emission model simulations. Methane and nitrous oxide are the key pollutions among greenhouse gases being a major contribution to climate changes because of their high potential global impact. Using statistical clustering (k-means and Ward’s method), five meaningful clusters of countries with similar level of greenhouse gases emission were identified. Neural modeling using multi-layer perceptron networks was performed for countries placed in particular groups. The parameters that characterize the quality of a network are the predictive errors (mainly validation and test) and they are high (0.97–…