Gene expression programming approach for the estimation of moisture ratio in herbal plants drying with vacuum heat pump dryer

The determination of drying behavior of herbal plants is a complex process. In this study, gene expression programming (GEP) model was used to determine drying behavior of herbal plants as fresh sweet basil, parsley and dill leaves. Time and drying temperatures are input parameters for the estimatio...

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Bibliographic Details
Published in:Heat and mass transfer 2017-07, Vol.53 (7), p.2419-2424
Main Authors: Dikmen, Erkan, Ayaz, Mahir, Gül, Doğan, Şahin, Arzu Şencan
Format: Article
Language:English
Subjects:
Drying
Engineering
Engineering Thermodynamics
Errors
Gene expression
Heat and Mass Transfer
Industrial Chemistry/Chemical Engineering
Leaves
Mathematical models
Moisture
Original
Parameter estimation
Predictions
Programming
Thermodynamics
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Summary:The determination of drying behavior of herbal plants is a complex process. In this study, gene expression programming (GEP) model was used to determine drying behavior of herbal plants as fresh sweet basil, parsley and dill leaves. Time and drying temperatures are input parameters for the estimation of moisture ratio of herbal plants. The results of the GEP model are compared with experimental drying data. The statistical values as mean absolute percentage error, root-mean-squared error and R-square are used to calculate the difference between values predicted by the GEP model and the values actually observed from the experimental study. It was found that the results of the GEP model and experimental study are in moderately well agreement. The results have shown that the GEP model can be considered as an efficient modelling technique for the prediction of moisture ratio of herbal plants.
ISSN:0947-7411
1432-1181
DOI:10.1007/s00231-017-1998-3