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Prediction kinetic, energy and exergy of quince under hot air dryer using ANNs and ANFIS
This study aimed to predict the drying kinetics, energy utilization (E(u)), 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 70°C an...
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| Vydáno v: | Food Sci Nutr |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
John Wiley and Sons Inc.
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6977499/ https://ncbi.nlm.nih.gov/pubmed/31993183 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/fsn3.1347 |
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