شماره ركورد كنفرانس :
5263
عنوان مقاله :
NUMERICAL SOLUTIONS OF THE MATHEMATICAL MODEL FOR METHANE PRODUCTION FROM ANAEROBIC DIGESTION PROCESS OF CELLULOSE USING AN ARTIFICIAL NEURAL NETWORKS
پديدآورندگان :
Panahian Fard Saeed s.panahianfard@pnu.ac.ir Department of Mathematics, Payame Noor University, P.O.Box 19395-3697, Tehran, Iran. , Pouramini Jafar Department of Computer Engineering and Information Technology, Payame Noor University, P.O.Box 19395-3697, Tehran, Iran.
كليدواژه :
universal approximation , artificial neural networks , Adam optimization learning algorithm , numerical solutions , system of ordinary differential equations
عنوان كنفرانس :
54 امين كنفرانس رياضي ايران
چكيده فارسي :
Methane production from anaerobic digestion process of cellulose is a process can be modeled as a biochemical reaction kinetics. The main objective of this study is to solve this mathematical model. The model provides a system of ordinary differential equations. For solving this coupled and nonlinear system, a method is constructed based on the universal approximation capability of a three layer feedforward sigmoid-weighted neural networks with Adam optimization learning algorithm. This method is illustrated with simulation results.
