Experimental and theoretical investigation of shelled corn drying in a microwave-assisted fluidized bed dryer using Artificial Neural Network

Food and Bioproducts Processing

Volumn 89, Issue 1, 2011, Pages 15-21

  Momenzadeh, Leila ^a   Zomorodian, Ali ^a   Mowla, Dariush ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

Artificial Neural Network; Fluidized bed; Microwave; Shelled corn

Indexed keywords

ACCURATE PREDICTION; AIR TEMPERATURE; ANN PREDICTION; ARTIFICIAL NEURAL NETWORK; DRYING AIR; DRYING CHARACTERISTICS; DRYING RATES; DRYING SYSTEMS; DRYING TIME; EXPERIMENTAL DATA; FLUIDIZED BED DRYERS; FLUIDIZED BED DRYING; FLUIDIZED BED SYSTEM; GRAIN MOISTURE CONTENT; HYPERBOLIC TANGENT; INITIAL MOISTURE CONTENT; INPUT PARAMETER; MICROWAVE ENERGIES; MICROWAVE POWER; MICROWAVE-ASSISTED; MOISTURE CONTENTS; OUTPUT PARAMETERS; RESILIENT BACKPROPAGATION; ROOT MEAN SQUARE ERRORS; SHELLED CORN; THEORETICAL INVESTIGATIONS; TRAINING ALGORITHMS; ZEA MAYS L;

ALGORITHMS; ATMOSPHERIC TEMPERATURE; BACKPROPAGATION; CURING; DRYERS (EQUIPMENT); DRYING; FLUIDIZATION; FLUIDIZED BED PROCESS; FLUIDIZED BEDS; GRAIN (AGRICULTURAL PRODUCT); HYPERBOLIC FUNCTIONS; MICROWAVE GENERATION; MICROWAVE POWER TRANSMISSION; MOISTURE; MOISTURE DETERMINATION; RANDOM ERRORS; TRANSFER FUNCTIONS;

NEURAL NETWORKS;

ZEA MAYS;

EID: 78751585148     PISSN: 09603085     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fbp.2010.03.007     Document Type: Article

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