Application of Artificial Neural Networks, Support Vector, Adaptive Neuro-Fuzzy Inference Systems for the Moisture Ratio of Parboiled Hulls

Application of Artificial Neural Networks, Support Vector, Adaptive Neuro-Fuzzy Inference Systems for the Moisture Ratio of Parboiled Hulls

Drying as an effective method for preservation of crop products is affected by various conditions and to obtain optimum drying conditions it is needed to be evaluated using modeling techniques. In this study, an adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN), and supp...

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Bibliographic Details
Main Authors: Vali Rasooli Sharabiani, Mohammad Kaveh, Ebrahim Taghinezhad, Rouzbeh Abbaszadeh, Esmail Khalife, Mariusz Szymanek, Agata Dziwulska-Hunek
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
drying
parboiled hulls
artificial neural networks
neuro-fuzzy inference
support vector regression
Online Access:https://www.mdpi.com/2076-3417/12/4/1771

Internet

https://www.mdpi.com/2076-3417/12/4/1771

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