Comparison between mathematical models and artificial neural networks for prediction of sorption isotherm in rough rice

International Agrophysics

Volumn 24, Issue 1, 2010, Pages 1-7

  Amiri Chayjan, R ^a   Esna Ashari, M ^a  

^a BU ALI SINA UNIVERSITY   (Iran)

Author keywords

Artificial neural network; Equilibrium moisturecontent; Mathematical models; Rough rice; Sorption isotherm

Indexed keywords

ARTIFICIAL NEURAL NETWORK; MOISTURE CONTENT; NUMERICAL MODEL; PREDICTION; RELATIVE HUMIDITY; RICE; SORPTION; TEMPERATURE GRADIENT;

ORYZA SATIVA;

EID: 76149105189     PISSN: 02368722     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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