Advanced Modeling Approaches for Quality Assessment of Papaya Leather Dried in IoT‐Enabled IR‐Assisted Refractance Window Dryer

ABSTRACT The aim of this research is the comprehensive comparison of advanced modeling tools for predicting the quality parameters of IoT‐enabled IR‐assisted RW‐dried papaya leather. The models used in the current research were “response surface methodology (RSM),” “artificial neural network (ANN),”...

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Veröffentlicht in:	Journal of food process engineering Jg. 48; H. 2
Hauptverfasser:	Dadhaneeya, Harsh, Nema, Prabhat K., Warepam, Sophia Chanu
Format:	Magazine Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 01.02.2025
Schlagworte:	adaptive neuro‐fuzzy inference system artificial neural network fuzzy logic IoT‐enabled IR‐assisted refractance window dryer leather machine learning regression algorithms neural networks papaya leather papayas prediction response surface methodology
ISSN:	0145-8876, 1745-4530
Online-Zugang:	Volltext
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