Optimization of an air drying process for Artemisia absinthium leaves using response surface and artificial neural network models

Journal of the Taiwan Institute of Chemical Engineers

Volumn 43, Issue 1, 2012, Pages 29-39

  Karimi, F ^a   Rafiee, S ^b   Taheri Garavand, A ^b   Karimi, M ^b  

^a UNIVERSITY OF TABRIZ   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Artemisia absinthium; Artificial neural networks; Drying; Optimization; Response surface methodology

Indexed keywords

AIR DRYING; AIR TEMPERATURE; AIR VELOCITIES; ARTEMISIA ABSINTHIUM; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK; CENTRAL COMPOSITE DESIGNS; CODED UNITS; CONTOUR PLOT; DEPENDENT VARIABLES; DESIRABILITY FUNCTION; DRYING RATES; DRYING TIME; EXERGY EFFICIENCIES; OPTIMUM OPERATING CONDITIONS; RESPONSE SURFACE; RESPONSE SURFACE METHODOLOGY;

ATMOSPHERIC TEMPERATURE; DRYING; ENERGY EFFICIENCY; EXERGY; MOISTURE; MOISTURE DETERMINATION; OPTIMIZATION; SURFACE PROPERTIES;

NEURAL NETWORKS;

EID: 83855160866     PISSN: 18761070     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jtice.2011.04.005     Document Type: Article

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