Desorption isotherm modelling of black tea using artificial neural networks

Drying Technology

Volumn 20, Issue 2, 2002, Pages 351-362

  Panchariya, P C ^a   Popovic, D ^b   Sharma, A L ^c  

^a CENTRAL ELECTRONICS ENGINEERING RESEARCH INSTITUTE   (India)

^b UNIVERSITY OF BREMEN   (Germany)

^c DEVI AHILYA UNIVERSITY   (India)

Author keywords

Back propagation; Desorption isotherm; Mathematical modelling; Regression analysis

Indexed keywords

ALGORITHMS; DESORPTION; DRYING; NEURAL NETWORKS;

BLACK TEA;

ISOTHERMS;

DESORPTION; FOOD PROCESSING; MATHEMATICAL MODELING; NEURAL NETWORK; TEMPERATURE EFFECT;

EID: 0036476658     PISSN: 07373937     EISSN: None     Source Type: Journal    
DOI: 10.1081/DRT-120002546     Document Type: Article

References (11)

1. Neural networks and physical systems with emergent collective computational abilities
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4. Modelling and control of drying process using neural networks
5. Neuro-computing approaches to modelling of drying process dynamics
6. Prediction of psychometric parameters using neural networks
7. Modelling of desorption isotherm of black tea
8. Development of ANN model for non-linear drying process
9. Dynamic models for drying and wet-milling quality degradation of corn using neural networks