Sharabiani, V.R.; Kaveh, M.; Taghinezhad, E.; Abbaszadeh, R.; Khalife, E.; Szymanek, M.; Dziwulska-Hunek, A.
Application of Artificial Neural Networks, Support Vector, Adaptive Neuro-Fuzzy Inference Systems for the Moisture Ratio of Parboiled Hulls. Appl. Sci. 2022, 12, 1771.
https://doi.org/10.3390/app12041771
AMA Style
Sharabiani VR, Kaveh M, Taghinezhad E, Abbaszadeh R, Khalife E, Szymanek M, Dziwulska-Hunek A.
Application of Artificial Neural Networks, Support Vector, Adaptive Neuro-Fuzzy Inference Systems for the Moisture Ratio of Parboiled Hulls. Applied Sciences. 2022; 12(4):1771.
https://doi.org/10.3390/app12041771
Chicago/Turabian Style
Sharabiani, Vali Rasooli, Mohammad Kaveh, Ebrahim Taghinezhad, Rouzbeh Abbaszadeh, Esmail Khalife, Mariusz Szymanek, and Agata Dziwulska-Hunek.
2022. "Application of Artificial Neural Networks, Support Vector, Adaptive Neuro-Fuzzy Inference Systems for the Moisture Ratio of Parboiled Hulls" Applied Sciences 12, no. 4: 1771.
https://doi.org/10.3390/app12041771
APA Style
Sharabiani, V. R., Kaveh, M., Taghinezhad, E., Abbaszadeh, R., Khalife, E., Szymanek, M., & Dziwulska-Hunek, A.
(2022). Application of Artificial Neural Networks, Support Vector, Adaptive Neuro-Fuzzy Inference Systems for the Moisture Ratio of Parboiled Hulls. Applied Sciences, 12(4), 1771.
https://doi.org/10.3390/app12041771
