Artificial neural network and response surface methodology modeling in mass transfer parameters predictions during osmotic dehydration of Carica papaya L.

Alexandria Engineering Journal

Volumn 52, Issue 3, 2013, Pages 507-516

  Prakash Maran, J ^a   Sivakumar, V ^a   Thirugnanasambandham, K ^a   Sridhar, R ^b  

^a KONGU ENGINEERING COLLEGE   (India)

^b Tamil Nadu Pollution Control Board   (India)

Author keywords

Artificial neural network; Mass transfer; Osmotic dehydration; Papaya; Response surface methodology

Indexed keywords

BACKPROPAGATION ALGORITHMS; DEHYDRATION; ERRORS; FORECASTING; MASS TRANSFER; MEAN SQUARE ERROR; NEURAL NETWORKS; SURFACE PROPERTIES;

BOX-BEHNKEN EXPERIMENTAL DESIGN; COEFFICIENT OF DETERMINATION; MASS TRANSFER PARAMETERS; MULTI-LAYERED PERCEPTRON; OSMOTIC DEHYDRATION; PAPAYA; RESPONSE SURFACE METHODOLOGY; STANDARD ERROR OF PREDICTION;

OSMOSIS;

EID: 84883459246     PISSN: 11100168     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aej.2013.06.007     Document Type: Article

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