Prediction kinetic, energy and exergy of quince under hot air dryer using ANNs and ANFIS

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...

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Bibliographic Details
Main Authors: Yousef Abbaspour‐Gilandeh, Ahmad Jahanbakhshi, Mohammad Kaveh
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Food Science & Nutrition
Subjects:
adaptive neuro‐fuzzy inference system
artificial neural networks
drying
quince
thermodynamic parameters
Online Access:https://doi.org/10.1002/fsn3.1347

Internet

https://doi.org/10.1002/fsn3.1347

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