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Drying Technology
An International Journal
Volume 25, 2007 - Issue 1
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Original Articles

Artificial Neural Network Modeling of Osmotic Dehydration Mass Transfer Kinetics of Fruits

C. I. Ochoa-Martínez Department of Food Science, Macdonald Campus of McGill University, Ste. Anne de Bellevue, PQ, Canada; Department of Food Engineering, Universidad del Valle, Apartado, Cali, Colombia
,
H. S. Ramaswamy Department of Food Science, Macdonald Campus of McGill University, Ste. Anne de Bellevue, PQ, CanadaCorrespondence[email protected]
&
A. A. Ayala-Aponte Department of Food Engineering, Universidad del Valle, Apartado, Cali, Colombia
Pages 85-95 | Published online: 10 Apr 2007

Citations (15)

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Read on this site (10)

Bhakti Shinde & Hosahalli S. Ramaswamy. (2021) Kinetic modeling of microwave osmotic dehydration of mangoes under continuous flow medium spray conditions using sucrose and maltodextrin (10-18 DE) solute mixtures. Drying Technology 39:6, pages 713-725.
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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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I. Farkas. (2013) Use of Artificial Intelligence for the Modelling of Drying Processes. Drying Technology 31:7, pages 848-855.
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Elena Niculina Drăgoi, Silvia Curteanu & Davide Fissore. (2013) On the Use of Artificial Neural Networks to Monitor a Pharmaceutical Freeze-Drying Process. Drying Technology 31:1, pages 72-81.
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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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Asım Balbay, Ömer Şahin & Murat Karabatak. (2011) An Investigation of Drying Process of Shelled Pistachios in a Newly Designed Fixed Bed Dryer System by Using Artificial Neural Network. Drying Technology 29:14, pages 1685-1696.
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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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Elham Azarpazhooh & HosahalliS. Ramaswamy. (2009) Evaluation of Diffusion and Azuara Models for Mass Transfer Kinetics during Microwave-Osmotic Dehydration of Apples under Continuous Flow Medium-Spray Conditions. Drying Technology 28:1, pages 57-67.
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C. I. Ochoa-Martinez, H. S. Ramaswamy & A. A. Ayala-Aponte. (2007) A Comparison of Some Mathematical Models Used for the Prediction of Mass Transfer Kinetics in Osmotic Dehydration of Fruits. Drying Technology 25:10, pages 1613-1620.
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C. I. Ochoa-Martínez, H. S. Ramaswamy & A. A. Ayala-Aponte. (2007) ANN-Based Models for Moisture Diffusivity Coefficient and Moisture Loss at Equilibrium in Osmotic Dehydration Process. Drying Technology 25:5, pages 775-783.
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Articles from other publishers (5)

Samira Keshavarz Babaee Nejad, Javad Sayyad Amin, Ali Asghar Mohsenipour & Sohrab Zendehboudi. (2022) Hybrid smart model to determine concentration of acidic gases in absorption tower of sweetening process. The Canadian Journal of Chemical Engineering 100:9, pages 2355-2373.
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Janmenjoy Nayak, Kanithi Vakula, Paidi Dinesh, Bighnaraj Naik & Danilo Pelusi. (2020) Intelligent food processing: Journey from artificial neural network to deep learning. Computer Science Review 38, pages 100297.
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Kelvin López-Aguilar, Adalberto Benavides-Mendoza, Susana González-Morales, Antonio Juárez-Maldonado, Pamela Chiñas-Sánchez & Alvaro Morelos-Moreno. (2020) Artificial Neural Network Modeling of Greenhouse Tomato Yield and Aerial Dry Matter. Agriculture 10:4, pages 97.
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Claudia Isabel Ochoa Martínez. (2016) Red neuronal artificial en respuesta a predicciones de parámetros de transferencia de masa (pérdida de humedad y ganancia de sólidos) durante la deshidratación osmótica de frutas. Acta Agronómica 65:4, pages 318-325.
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Rumela BhadraK. MuthukumarappanKurt A. Rosentrater. (2011) Artificial Neural Network Modeling of Distillers Dried Grains with Solubles (DDGS) Flowability with Varying Process and Storage Parameters. Cereal Chemistry Journal 88:5, pages 480-489.
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