ANN-based approach to model MC/DR of some fruits under solar drying

The aim of this work was to model the moisture content ( MC ) and drying rate DR using artificial neural network (ANN) methodology. Many architectures have been tested best topology selected based on a trial error method. dataset randomly divided into 60, 20, 20 % for training, test, validation stage ANN model, respectively. 10-{29-13}-2 obtained with high correlation coefficient R (%) {99.98, 98.41} low root mean square RMSE (0.36, 6.29) , can be used interpolate accuracy.