Optimizing food waste anaerobic digestion in Kuwait: Experimental insights and empirical modelling using artificial neural networks
Jean H El Achkar,
Suad Al Radhwan,
Ahmed M Al-Otaibi
et al.
Abstract:This study investigates, for the first time, the anaerobic digestion of food waste in Kuwait to optimize methane production through a combination of artificial neural network (ANN) modelling and continuous reactor experiments. The ANN model, utilizing eight hidden neurons and a 70-20-10 split for training, validation and testing sets, yielded mean squared error values of 0.0056, 0.0048 and 0.0059 and coefficient of determination ( R²) values of 0.9942, 0.9986 and 0.9892, respectively. Methane percentages in bi… Show more
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