Artificial neural network modelling of moisture content evolution for convective drying of cylindrical quince slices
Computers and Electronics in Agriculture(2020)
Abstract
•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.
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Key words
Quince drying,Neural networks,Convective drying,Moisture content
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