Rice Bran Drying Kinetics of a Controlled Microwave Vacuum Dryer Optimized PLC-based: A Neuro-fuzzy Approach

There have been several attempts to stabilize the rice bran using traditional physical, mathematical, and statistical methods for precise modeling but it is computationally laborious. In this study, the drying kinetics of the rice bran in prediction of the moisture loss was modelled through the neuro-fuzzy approach. The input parameters that were considered were microwave power, rotation speed, drying time, load capacity and vacuum pressure. A fuzzy inference system is designed to generate the rules of fuzzy logic where inputs of these are from the output of the trained neural network. Based on the result, it was found out that developed system was able to predict the moisture loss with error rate of 0.00014627.