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

International Journal of Food Engineering

Volumn 9, Issue 4, 2013, Pages 375-384

  Malekjani, Narjes ^a   Jafari, Seid Mahdi ^b   Rahmati, Mohammad Hashem ^b   Zadeh, Ebrahim Esmaeel ^b   Mirzaee, Hbibollah ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

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

Author keywords

canola; drying kinetics; neural network; thin layer drying model

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELING; CANOLA; DRYING CHARACTERISTICS; DRYING KINETIC; FEEDFORWARD BACKPROPAGATION; ROOT MEAN SQUARE ERRORS; STATISTICAL PARAMETERS; THIN-LAYER DRYING MODELS;

BACKPROPAGATION ALGORITHMS; DRYING; FLUIDIZED BEDS; FOOD TECHNOLOGY; MOISTURE; NEURAL NETWORKS;

MEAN SQUARE ERROR;

EID: 84890467835     PISSN: 21945764     EISSN: 15563758     Source Type: Journal    
DOI: 10.1515/ijfe-2012-0136     Document Type: Article

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