Prediction kinetic, energy and exergy of quince under hot air dryer using ANNs and ANFIS
Abstract This study aimed to predict the drying kinetics, energy utilization (Eu), energy utilization ratio (EUR), exergy loss, and exergy efficiency of quince slice in a hot air (HA) dryer using artificial neural networks and ANFIS. The experiments were performed at air temperatures of 50, 60, and...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Food Science & Nutrition |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/fsn3.1347 |