Artificial neural network modelling of moisture content evolution for convective drying of cylindrical quince slices

•Multiple ANN topologies are used for predicting quince slices moisture content.•Overfitting extent was evaluated by a k-fold cross validation iteration procedure.•Cross validation score metrics and statistical evaluation indices were estimated.•Proposed model demonstrates enhanced prediction abilities for unseen training data.