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Mathematical and neural network modelling of terebinth fruit under fluidized bed drying

Author

Listed:
  • M. Kaveh

    (Department of Biosystems Engineering, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran)

  • R. Amiri Chayjan

    (Department of Biosystems Engineering, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran)

Abstract

The paper presents an application which uses Feed Forward Neural Networks (FFNNs) to model the non-linear behaviour of the terebinth fruit drying. Mathematical models and Artificial Neural Networks (ANNs) were used for prediction of effective moisture diffusivity, specific energy consumption, shrinkage, drying rate and moisture ratio in terebinth fruit. Feed Forward Neural Network (FFBP) and Cascade Forward Neural Network (CFNN) as well as training algorithms of Levenberg-Marquardt (LM) and Bayesian regularization (BR) were used. Air temperature and velocity limits were 40-80°C and 0.81-4.35 m/s, respectively. The best outcome for the use of ANN for the effective moisture diffusivity appertained to CFNN network with BR training algorithm, topology of 2-3-1 and threshold function of TANSIG. Similarly, the best outcome for the use of ANN for drying rate and moisture ratio also appertained to CFNN network with LM training algorithm, topology of 3-2-4-2 and threshold function of TANSIG.

Suggested Citation

  • M. Kaveh & R. Amiri Chayjan, 2015. "Mathematical and neural network modelling of terebinth fruit under fluidized bed drying," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 61(2), pages 55-65.
    • Handle: RePEc:caa:jnlrae:v:61:y:2015:i:2:id:56-2013-rae
    DOI: 10.17221/56/2013-RAE
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    References listed on IDEAS

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    1. Mortaza Aghbashlo & Mohammad Hossien Kianmehr & Akbar Arabhosseini & Tayyeb Nazghelichi, 2011. "Modelling the carrot thin-layer drying in a semi-industrial continuous band dryer," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 29(5), pages 528-538.
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    Cited by:

    1. Annisa Kusumaningrum & Dwi Joko Prasetyo & Ervika Rahayu Novita Herawati & Asep Nurhikmat, 2019. "Modelling the drying characteristics of the traditional Indonesian crackers "kerupuk"," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 65(4), pages 137-144.

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