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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977499/ https://www.ncbi.nlm.nih.gov/pubmed/31993183 http://dx.doi.org/10.1002/fsn3.1347 |