B Abbasi Souraki - Chemical Engineering Department, University of Guilan, Rasht ۴۱۶۳۵۳۷۵۶, Iran
J Sayyad Amin
M Omidi

In this study the process of drying of peas in a batch fluidized bed dryer was simulated. Two different methods were used to fit the experimental data. Artificial neural network (ANN) andBayesian belief network (BBN) were used for predicting the time that is required to reach to a certain moisture of the particles in the dryer. Comparing / r /Correction Factor and / /factor anderrors like MRE, MAE, SE in the two models shows that the predictions of artificial neural network is better than Bayesian belief network

Fludized bed dryer, Artificial Neural Network, Bayesian Belief Network