Development of Artificial Neural Network Models for Biogas Production from Co-Digestion of Leachate and Pineapple Peel
Keywords:Artificial neural network models, biogas, anaerobic co-digestion, leachate, pineapple peel.
The processes of anaerobic digestion and co-digestion are complicated and the development ofcomputational models that are capable of simulation and prediction of anaerobic digester performances can assist in theoperation of the anaerobic digestion processes and the optimization for methane production. The artificial neural networkapproach is considered to be an appropriate and uncomplicated modelling approach for anaerobic digestionapplications. This study developed neural network models to predict the outcomes of anaerobic co-digestion of leachatewith pineapple peel using experimental data. The multilayered feed forward neural network model proposed was capableof predicting the outcomes of biogas production from the anaerobic co-digestion processes with a mean squared errorfor validation of 2.67 x 10-2 and a R value for validation of 0.9942. The approach was found to be effective, flexible andversatile in coping with the non-linear relationships using available information.
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