Application of an adaptive neuro_fuzzy inference system (ANFIS) in the modeling of rapeseeds' oil extraction

Journal of Food Process Engineering

Volumn 40, Issue 6, 2017, Pages

  Farzaneh, Vahid ^a   Bakhshabadi, Hamid ^b   Gharekhani, Mehdi ^c   Ganje, Mohammad ^b   Farzaneh, Farahnaz ^d   Rashidzadeh, Shilan ^e   Carvalho, Isabel S ^a  

^a UNIVERSITY OF ALGARVE   (Portugal)

^b GORGAN UNIVERSITY OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

^d ZAHEDAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^e Saee Institute of Higher Education   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

DEEP NEURAL NETWORKS; EFFICIENCY; EXTRACTION; FUZZY INFERENCE; MEAN SQUARE ERROR; MOISTURE; MOISTURE DETERMINATION; NEURAL NETWORKS; OILS AND FATS;

ACTIVATION FUNCTIONS; CORRELATION COEFFICIENT; EXTRACTION PROCESS; INDEPENDENT VARIABLES; OPTIMIZED CONDITIONS; PHYSICOCHEMICAL PROPERTY; RESPONSE SURFACE METHODOLOGY; ROOT MEAN SQUARED ERRORS;

MEMBERSHIP FUNCTIONS;

EID: 85017633481     PISSN: 01458876     EISSN: 17454530     Source Type: Journal    
DOI: 10.1111/jfpe.12562     Document Type: Article

References (28)

1. AOCS. (1993). Official Methods and Recommended Practices of the American Oil Chemists' Society.
2. AOCS. (2008). Official methods of analysis of the association of official analytical chemists. Arlington.
3. Bakhshabadi, H., Mirzaei, H., Ghodsvali, A., Jafari, S. M., Ziaiifar, A. M., & Farzaneh, V. (2017). The effect of microwave pretreatment on some physico-chemical properties and bioactivity of Black cumin seeds' oil. Industrial Crops and Products, 97, 1–9.
4. Bamgboye, A. I., & Adejumo, A. O. D. (2007). Development of a sunflower oil expeller. Texas: Texas A&M University.
5. Boselli, E., Di Lecce, G., Strabbioli, R., Pieralisi, G., & Frega, N. G. (2009). Are virgin olive oils obtained below 27°C better than those produced at higher temperatures?. LWT-Food Science & Technology, 42(3), 748–757.
6. Breeson, D. K. (1983). Mechanical oil extraction. Journal of the American Oil Chemists Society, 60(2), 211–213.
7. Brunner, G. (1984). Mass transfer from solid material in gas extraction. Berichte Der Bunsengesellschaft Für Physikalische Chemie, 88(9), 887–891.
8. Davidson, V. J., Ryks, J., & Chu, T. (2001). Fuzzy models to predict consumer ratings for biscuits based on digital image features. IEEE Transactions on Fuzzy Systems, 9(1), 62–67.
9. Dolatabadi, Z., Elhami Rad, A. H., Farzaneh, V., Akhlaghi Feizabad, S. H., Estiri, S. H., & Bakhshabadi, H. (2016). Modeling of the lycopene extraction from tomato pulps. Food Chemistry, 190(0), 968–973.
10. Farzaneh, V., & Carvalho, I. S. (2017). Modelling of microwave assisted extraction (MAE) of anthocyanins (TMA). Journal of Applied Research on Medicinal and Aromatic Plants, In press. http://dx.doi.org/10.1016/j.jarmap.2017.02.005
11. Farzaneh, V., Ghodsvali, A., Bakhshabadi, H., Ganje, M., Dolatabadi, Z., & Carvalho, I. (2016). Modelling of the selected physical properties of the fava bean with various moisture contents usingfuzzy logic design. Journal of Food Process Engineering, 65, 247–258.
12. Ghods Vali, A., Farzaneh, V., Bakhshabadi, H., Zare, Z., Karami, Z., Mokhtarian, M., & Carvalho, I. (2016). Screening of the aerodynamic and biophysical properties of barley malt. International Agrophysics, 30, 457–464.
13. Gunstone, F. (2009). Rapeseed and canola oil: Production, processing, properties and uses. New York: Wiley-Blackwell.
14. Izadifar, M., & Abdolahi, F. (2006). Comparison between neural network and mathematical modelling of supercritical CO2 extraction of black pepper essential oil. Journal of Supercritical Fluids, 38(1), 37–43.
15. Jabrayili, S., Farzaneh, V., Zare, Z., Bakhshabadi, H., Babazadeh, Z., Mokhtarian, M., & S.Carvalho, I. (2016). Modelling of mass transfer kinetic in osmotic dehydration of kiwifruit. International Agrophysics, 30(2), 185–191.
16. Karman, S., Ozturk, I., Yalcin, H., Kayacier, A., & Sagdic, O. (2012). Comparison of adaptive neuro-fuzzy inference system and artificial neural networks for estimation of oxidation parameters of sunflower oil added with some natural byproduct extracts. Journal of the Science of Food and Agriculture, 92(1), 49–58.
17. Kazuhisa, Y. (2001). Oils and fats. Reito, 76, 05–409.
18. Lee, A. K. K., Bulley, N. R., Fattori, M., & Meisen, A. (1986). Modelling of supercritical carbon dioxide extraction of canola oilseed in fixed beds. Journal of the American Oil Chemists' Society, 63(7), 921–925.
19. Morales, M. T., & Aparicio, R. (1999). Effect of extraction conditions on sensory quality of virgin olive oil. Journal of the American Oil Chemists' Society, 76(3), 295–300.
20. Pan, X., Liu, H., Jia, G., & Shu, Y. Y. (2000). Microwave-assisted extraction of glycyrrhizic acid from licorice root. Biochemical Engineering Journal, 5(3), 173–177.
21. Prior, E., Vadke, V., & Sosulski, F. (1991). Effect of heat treatments on canola press oils. II. Oxidative stability. Journal of the American Oil Chemists' Society, 68(6), 407–411.
22. Przybylski, R. (2011). Canola-rapeseed oil. In F. D. Gunstone (Ed.), Vegetable oils in food technology (pp. 107–136). New York: Wiley-Blackwell.
23. Przybylski, R., & Zambiazi, R. (2000). Predicting oxidative stability of vegetable oils using neural network system and endogenous oil components. Journal of the American Oil Chemists' Society, 77(9), 925–932.
24. Rostami, M., Farzaneh, V., Boujmehrani, A., Mohammadi, M., & Bakhshabadi, H. (2014). Optimizing the extraction process of sesame seed's oil using response surface method on the industrial scale. Industrial Crops and Production, 58, 160–165.
25. USDA (2004). Official Statistics. Foreign Agricultural Service: Cotton, Oilseeds, Tobacco, and Seeds Division.
26. Vasseghian, Y., Zahedi, G. H., & Ahmadi, M. (2016). Oil extraction from pistacia khinjuk - experimental and prediction by computational intelligence models. Journal of Food Biosciences and Technology, 6(1), 1–12.
27. Veldsink, J. W., Muuse, B. G., Meijer, M. M. T., Cuperus, F. P., van de Sande, R. L. K. M., & van Putte, K. P. A. M. (1999). Heat pretreatment of oilseeds: Effect on oil quality. Lipid - Fett, 101(7), 244–248.
28. Verma, B. P. (1995). Application of fuzzy logic in post-harvest quality decisions. In Proceedings of the National Seminar on Postharvest Technology of Fruits (pp. 22–28). Bangalore, India: University of Agricultural Sciences (Aug 7–9).