| dc.creator |
Dikmen, Erkan |
|
| dc.creator |
AYAZ, Mahir |
|
| dc.creator |
GUL, Dogan |
|
| dc.creator |
Aahin, ARZU |
|
| dc.date |
2017-06-30T21:00:00Z |
|
| dc.date.accessioned |
2020-10-06T10:32:08Z |
|
| dc.date.available |
2020-10-06T10:32:08Z |
|
| dc.identifier |
7245a81d-75e2-41c4-b0ac-a11f08588954 |
|
| dc.identifier |
10.1007/s00231-017-1998-3 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/7245a81d-75e2-41c4-b0ac-a11f08588954/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/63310 |
|
| dc.description |
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. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Gene expression programming approach for the estimation of moisture ratio in herbal plants drying with vacuum heat pump dryer |
|
| dc.type |
info:eu-repo/semantics/article |
|