Modeling of Neem Oil Methyl Esters Production using Artificial Neural Networks

摘要: The objective of the present work is to develop models inculcating effect operating conditions neem oil methyl esters (NOME) production in an oscillatory baffled reactor, namely temperature, time reaction, methanol ratio and catalyst concentration on estimation parameters like viscosity biodiesel produced by using Artificial Neural Networks technique. Experiments were conducted laboratory results obtained used ANN model MATLAB. developed was good agreement with experimental values (error within +1%). Based outcome this demonstrative work, it can be concluded that has a great potential addressing properties. It sincerely felt methodology adopted extended more comprehensive data sets various from different reactor design setups.