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Drying Technology
An International Journal
Volume 21, 2003 - Issue 9
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Original Articles

An Artificial Neural Network Model for Prediction of Drying Rates

Md. Raisul Islam Department of Mechanical Engineering, National University of Singapore, Singapore
,
S. S. Sablani Department of Bioresource and Agricultural Engineering, Sultan Qaboos University, Al-Khod, Muscat, Oman
&
A. S. Mujumdar Department of Mechanical Engineering, National University of Singapore, SingaporeCorrespondence[email protected]
Pages 1867-1884 | Published online: 06 Feb 2007

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Yi Jin, Kok Wai Wong, Deyong Yang, Zhongjie Zhang, Wenfu Wu & Jun Yin. (2022) A neural network model used in continuous grain dryer control system. Drying Technology 40:9, pages 1901-1922.
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Md. Imran H. Khan, Shyam S. Sablani, M. U. H. Joardder & M. A. Karim. (2022) Application of machine learning-based approach in food drying: opportunities and challenges. Drying Technology 40:6, pages 1051-1067.
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Alex Martynenko & N. N. Misra. (2020) Machine learning in drying. Drying Technology 38:5-6, pages 596-609.
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Phani Krishna Kadiyala & Himadri Chattopadhyay. (2017) Numerical simulation of transport phenomena due to array of round jets impinging on hot moving surface. Drying Technology 35:14, pages 1742-1754.
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Víctor Martínez-Martínez, Jaime Gomez-Gil, Timothy S. Stombaugh, Michael D. Montross & Javier M. Aguiar. (2015) Moisture Content Prediction in the Switchgrass (Panicum virgatum) Drying Process Using Artificial Neural Networks. Drying Technology 33:14, pages 1708-1719.
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Mortaza Aghbashlo, Soleiman Hosseinpour & Arun S. Mujumdar. (2015) Application of Artificial Neural Networks (ANNs) in Drying Technology: A Comprehensive Review. Drying Technology 33:12, pages 1397-1462.
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Bruno Guzzo da Silva, Ana Maria Frattini Fileti & Osvaldir Pereira Taranto. (2015) Drying of Brazilian Pepper-Tree Fruits (Schinus terebinthifolius Raddi): Development of Classical Models and Artificial Neural Network Approach. Chemical Engineering Communications 202:8, pages 1089-1097.
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Samaneh Keshani, Wan Ramli Wan Daud, Meng Wai Woo, Meor Zainal Meor Talib, A. Luqman Chuah & A.R. Russly. (2012) Artificial Neural Network Modeling of the Deposition Rate of Lactose Powder in Spray Dryers. Drying Technology 30:4, pages 386-397.
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Kemal Polat & Volkan Kirmaci. (2012) A Novel Data Preprocessing Method for the Modeling and Prediction of Freeze-Drying Behavior of Apples: Multiple Output–Dependent Data Scaling (MODDS). Drying Technology 30:2, pages 185-196.
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Milad Fathi, Mohebbat Mohebbi & SeyedM. A. Razavi. (2011) Application of Fractal Theory for Prediction of Shrinkage of Dried Kiwifruit Using Artificial Neural Network and Genetic Algorithm. Drying Technology 29:8, pages 918-925.
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Mortaza Aghbashlo, Mohammad Hossein Kianmehr, Tayyeb Nazghelichi & Shahin Rafiee. (2011) Optimization of an Artificial Neural Network Topology for Predicting Drying Kinetics of Carrot Cubes Using Combined Response Surface and Genetic Algorithm. Drying Technology 29:7, pages 770-779.
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Tayyeb Nazghelichi, Mortaza Aghbashlo, Mohammad Hossein Kianmehr & Mahmoud Omid. (2011) Prediction of Energy and Exergy of Carrot Cubes in a Fluidized Bed Dryer by Artificial Neural Networks. Drying Technology 29:3, pages 295-307.
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Najmeh Neshat, Nasser Salmasi & Aliyeh Kazemi. (2010) A Hybrid Approach of Partial Least Squared Analysis and Artificial Neural Networks for Predictive Control of a Ceramic Process. Transactions of the Indian Ceramic Society 69:2, pages 89-98.
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ArunS. Mujumdar & Wu Zhonghua. (2007) Thermal Drying Technologies—Cost-Effective Innovation Aided by Mathematical Modeling Approach. Drying Technology 26:1, pages 145-153.
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Marek Markowski, Ireneusz Bialobrzewski, Janusz Bowszys & Stanislaw Suchecki. (2007) Simulation of Temperature Distribution in Stored Wheat without Aeration. Drying Technology 25:9, pages 1527-1536.
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J. A. Cárcel, J. V. García-Pérez, E. Riera & A. Mulet. (2007) Influence of High-Intensity Ultrasound on Drying Kinetics of Persimmon. Drying Technology 25:1, pages 185-193.
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C. I. Ochoa-Martínez, H. S. Ramaswamy & A. A. Ayala-Aponte. (2007) Artificial Neural Network Modeling of Osmotic Dehydration Mass Transfer Kinetics of Fruits. Drying Technology 25:1, pages 85-95.
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Hongwei Wu & Stavros Avramidis. (2006) Prediction of Timber Kiln Drying Rates by Neural Networks. Drying Technology 24:12, pages 1541-1545.
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Gábor Bihercz & János Beke. (2006) Semi-Empirical Model of Convective Drying with Wide Range Layer Depth Validity. Drying Technology 24:9, pages 1165-1172.
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Nagesh Malharso Mandale, Arun Kumar Attkan, Sunil Kumar & Nitin Kumar. (2023) Drying kinetics and quality assessment of refractance window dried beetroot. Journal of Food Process Engineering 46:7.
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Shagufta Rizwana, Singamayum Firdosh Nesha, Kamlesh Kumar, Sarlin Pohthmi & Manuj Kumar Hazarika. (2023) Drying kinetics and image-based identification of drying end point during parboiling of komal chawal. Journal of Agriculture and Food Research, pages 100646.
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Debmalya Ghosh & Ashim Datta. (2023) Deep learning enabled surrogate model of complex food processes for rapid prediction. Chemical Engineering Science 270, pages 118515.
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Md Imran H. Khan, C. P. Batuwatta-Gamage, M. A. Karim & YuanTong Gu. (2022) Fundamental Understanding of Heat and Mass Transfer Processes for Physics-Informed Machine Learning-Based Drying Modelling. Energies 15:24, pages 9347.
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Ashim Datta, Bart Nicolaï, Olivier Vitrac, Pieter Verboven, Ferruh Erdogdu, Francesco Marra, Fabrizio Sarghini & Chris Koh. (2022) Computer-aided food engineering. Nature Food 3:11, pages 894-904.
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Md. Imran H. Khan, Shyam S. Sablani, Richi Nayak & Yuantong Gu. (2022) Machine learning‐based modeling in food processing applications: State of the art. Comprehensive Reviews in Food Science and Food Safety 21:2, pages 1409-1438.
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Anwarul Karim, Yoon Jo Kim & Jong-Hoon Kim. (2021) Two-Dimensional Flow Boiling Characteristics With Wettability Surface in Microgap Heat Sink and Heat Transfer Prediction Using Artificial Neural Network. Journal of Heat Transfer 143:9.
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Mehmet Kalender, Mahmut Temel Özdemir & Hasan Güler. (2020) Modelling to Predict Moisture Ratio in Infrared Drying of Machine Plaster by Particle Swarm Optimization. Current Physical Chemistry 10:2, pages 126-135.
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Maleki, Ghazvini, Ahmadi, Maddah & Shamshirband. (2019) Moisture Estimation in Cabinet Dryers with Thin-Layer Relationships Using a Genetic Algorithm and Neural Network. Mathematics 7:11, pages 1042.
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Monia Jebri, José Tarrazó, José Bon, Hélène Desmorieux & Mehrez Romdhane. (2018) Intensification of the convective drying process of Salvia officinalis : Modeling and optimization . Food Science and Technology International 24:5, pages 382-393.
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Víctor Francia, Luis Martín, Andrew E. Bayly & Mark J.H. Simmons. (2016) Agglomeration in counter-current spray drying towers. Part A: Particle growth and the effect of nozzle height. Powder Technology 301, pages 1330-1343.
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S.M. Jafari, V. Ghanbari, M. Ganje & D. Dehnad. (2016) Modeling the Drying Kinetics of Green Bell Pepper in a Heat Pump Assisted Fluidized Bed Dryer. Journal of Food Quality 39:2, pages 98-108.
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Seid Mahdi Jafari, Mohammad Ganje, Danial Dehnad & Vahid Ghanbari. (2016) Mathematical, Fuzzy Logic and Artificial Neural Network Modeling Techniques to Predict Drying Kinetics of Onion. Journal of Food Processing and Preservation 40:2, pages 329-339.
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Samaneh Keshani, Wan Ramli Wan Daud, M.M. Nourouzi, Farideh Namvar & Mostafa Ghasemi. (2015) Spray drying: An overview on wall deposition, process and modeling. Journal of Food Engineering 146, pages 152-162.
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Narjes Malekjani, Seid Mahdi Jafari, Mohammad Hashem Rahmati, Ebrahim Esmaeel Zadeh & Hbibollah Mirzaee. (2013) Evaluation of Thin-Layer Drying Models and Artificial Neural Networks for Describing Drying Kinetics of Canola Seed in a Heat Pump Assisted Fluidized Bed Dryer. ijfe 9:4, pages 375-384.
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Nathamol Chindapan, Shyam S. Sablani, Naphaporn Chiewchan & Sakamon Devahastin. (2012) Modeling and Optimization of Electrodialytic Desalination of Fish Sauce Using Artificial Neural Networks and Genetic Algorithm. Food and Bioprocess Technology 6:10, pages 2695-2707.
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Shivmurti Shrivastav & B. K. Kumbhar. (2010) Drying kinetics and ANN modeling of paneer at low pressure superheated steam. Journal of Food Science and Technology 48:5, pages 577-583.
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Tayyeb Nazghelichi, Mohammad Hossein Kianmehr & Mortaza Aghbashlo. (2010) Prediction of carrot cubes drying kinetics during fluidized bed drying by artificial neural network. Journal of Food Science and Technology 48:5, pages 542-550.
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N. Neshat, H. Mahlooji & A. Kazemi. (2011) An enhanced neural network model for predictive control of granule quality characteristics. Scientia Iranica 18:3, pages 722-730.
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Mohammad Sharifi, Shahin Rafiee, Hojjat Ahmadi & Masoud Rezaee. 2011. Innovative Computing Technology. Innovative Computing Technology 71 80 .
J.A. Hernández. (2009) Optimum operating conditions for heat and mass transfer in foodstuffs drying by means of neural network inverse. Food Control 20:4, pages 435-438.
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M. Köni, M. Türker, U. Yüzgeç, H. Dinçer & H. Kapucu. (2009) Adaptive modeling of the drying of baker's yeast in a batch fluidized bed. Control Engineering Practice 17:4, pages 503-517.
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Stavros Avramidis & Hongwei Wu. (2006) Artificial neural network and mathematical modeling comparative analysis of nonisothermal diffusion of moisture in woodBestimmung der nicht isothermischen Feuchtediffusion in Holz mittels eines neuronalen Netzwerks im Vergleich zu einer mathematischen Modellierung. Holz als Roh- und Werkstoff 65:2, pages 89-93.
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Gábor Bihercz, János Beke & Zoltan Kurják. (2007) Simulation of drying process of corn kernels during microwave and convective treatment. Asia-Pacific Journal of Chemical Engineering 2:2, pages 75-82.
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S.S. Sablani, A. Kacimov, J. Perret, A.S. Mujumdar & A. Campo. (2005) Non-iterative estimation of heat transfer coefficients using artificial neural network models. International Journal of Heat and Mass Transfer 48:3-4, pages 665-679.
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