Use of Artificial Intelligence for the Modelling of Drying Processes

REFERENCES

• Aghbashlo , M. ; Kianmehr , M.H. ; Nazghelichi , T. ; Raffie , S. Optimization of an artificial neural network topology for predicting drying kinetics of carrot cubes using combined response surface and genetic algorithm . Drying Technology 2011 , 29 , 770 – 779 .
   Web of Science ®Google Scholar
• Azadeh , A. ; Neshat , N. ; Saberi , M. An intelligent approach for improved predictive control of spray drying process. 14th International Conference on Intelligent Engineering Systems (INES), 5–7 May 2010, Las Palmas, Spain; 127–136.
   Google Scholar
• Balbay , A. ; Sahin , O. ; Karabatak , M. An investigation of drying process of shelled pistachios in a newly designed fixed bed dryer system by using artificial neural network . Drying Technology 2011 , 29 , 1685 – 1696 .
   Web of Science ®Google Scholar
• Banooni , S. ; Hosseinalipour , S.M. ; Mujumdar , A.S. ; Taherkhani , P. ; Bahiraei , M. Baking of flat bread in an impingement oven: Modeling and optimization . Drying Technology 2009 , 27 , 103 – 112 .
   Web of Science ®Google Scholar
• Erenturk , S. ; Erenturk , K. Comparison of genetic algorithm and neural network approaches for the drying process of carrot . Journal of Food Engineering 2007 , 78 ( 3 ), 905 – 912 .
   Web of Science ®Google Scholar
• Farkas , I. Artificial intelligence as a tool for modelling of post-harvest processes. In Preprints of 4rd IFAC/CIGR Workshop on Control Applications in Post-Harvest and Processing Technology (CAPPT 2006), Pottsdam, Germany, March 26–29, 2006; Gottschalk, K., Ed.; 18–38.
   Google Scholar
• Farkas , I. ; Reményi , P. ; Biró , A. Modelling of alfalfa drying using neural network. Drying'98, Proceedings of the 11th International Drying Symposium (IDS'98), Halkidiki, Greece, August 19–22, 1998; Akritidis, C.B.; Marinos-Kouris, D.; Saravacos, G.D., Eds.; 168–175.
   Google Scholar
• Farkas , I. ; Reményi , P. ; Biró , A. Modelling of a small scale agricultural grain dryer by the use of neural network method. In Proceedings of IMACS/IFAC Second International Symposium on Mathematical Modelling and Simulation in Agriculture and Bio-Industries, June 7–9, 1999, Uppsala, Sweden; 59–64.
   Google Scholar
• Fathi , M. ; Mohebbi , M. ; Razavi , S.M.A. Application of fractal theory for prediction of shrinkage of dried kiwifruit using artificial neural network and genetic algorithm . Drying Technology 2011 , 29 ( 8 ), 918 – 925 .
   Web of Science ®Google Scholar
• Freire , J.T. ; Ferreira , M.C. ; Nascimento , B.S. A hybrid lumped parameter/neural network model for spouted bed drying of pastes with inert particles . Drying Technology 2012 , 30 , 1342 – 1353 .
   Web of Science ®Google Scholar
• Gorjian , S. ; Hashjin , T.T. ; Khoshtaghaza , M.H. Designing and optimizing a back propagation neural network to model a thin-layer drying process . International Agrophysics 2011 , 25 , 13 – 19 .
   Web of Science ®Google Scholar
• Jumah , R. ; Mujumdar , A.S. Modeling intermittent drying using an adaptive neuro-fuzzy inference system . Drying Technology 2005 , 23 ( 5 ), 1075 – 1092 .
   Web of Science ®Google Scholar
• Lin , C.T. ; Lee , C.S.G. Neural Fuzzy Systems ; Prentice Hall Inc. : Upper Saddle River , NJ , 1996 .
   Google Scholar
• Liu , X. ; Chen , X. ; Wu , W. ; Peng , G. A neural network for predicting moisture content of grain drying process using genetic algorithm . Food Control 2007 , 18 ( 8 ), 928 – 933 .
   Web of Science ®Google Scholar
• Martynenko , A. ; Yang , S.X. ; Pan , L. Intelligent computation of moisture content in shrinkable biomaterials . Drying Technology 2007 , 25 , 1667 – 1676 .
   Web of Science ®Google Scholar
• Ochoa-Martínez , C.I. ; Ramaswamy , H.S. ; Ayala-Aponte , A.A. Artificial neural network modeling of osmotic dehydration mass transfer kinetics of fruits . Drying Technology 2007 , 25 ( 1 ), 85 – 95 .
   Web of Science ®Google Scholar
• Omid , M. ; Baharlooei , A. ; Ahmadi , H. Modeling drying kinetics of pistachio nuts with multilayer feed-forward neural network . Drying Technology 2009 , 27 , 1069 – 1077 .
   Web of Science ®Google Scholar
• O'Callaghan , J.R. ; Menzies , D.J. ; Bailey , P.H. Digital simulation of agricultural dryer performance . Journal of Agricultural Engineering Research 1971 , 16 ( 3 ), 223 – 244 .
   Web of Science ®Google Scholar
• Youssefi , S. ; Emam-Djomeh , Z. ; Mousavi , S.M. Comparison of artificial neural network (ANN) and response surface methodology (RSM) in the prediction of quality parameters of spray-dried pomegranate juice . Drying Technology 2009 , 27 , 910 – 917 .
   Web of Science ®Google Scholar