Application of design of experiments and multilayer perceptron neural network in optimization of the spray-drying process

Drying Technology

Volumn 29, Issue 14, 2011, Pages 1638-1647

  Mihajlovic, Tijana ^a   Ibric, Svetlana ^a   Mladenovic, Aleksandar ^a  

^a UNIVERSITY OF BELGRADE   (Serbia)

Author keywords

Artificial neural network; Design of experiments; Lactose; Maltodextrin; Spray drying

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CENTRAL COMPOSITE DESIGNS; DESIGN SPACES; DRUG SUBSTANCES; DRYING AIR; FACTORIAL-DESIGN STUDY; FEED CONCENTRATION; HIDDEN UNITS; INLET AIR TEMPERATURES; LACTOSE; MALTODEXTRINS; MULTI LAYER PERCEPTRON; MULTILAYER PERCEPTRON NEURAL NETWORKS; OUTLET AIR; PARTICLE CHARACTERISTICS; PROCESS PARAMETERS; PROCESS YIELD; PROCESSING VARIABLES; PRODUCTION YIELD; PUMP SPEED; RESIDUAL MOISTURE CONTENT; RESPONSE SURFACE METHODOLOGY; SECOND LAYER; SPRAY DRYERS; SPRAY DRYING PROCESS; SWITZERLAND; THREE-LAYER;

ATMOSPHERIC TEMPERATURE; CONCENTRATION (PROCESS); DESIGN; DESIGN OF EXPERIMENTS; EXPERIMENTS; FLAVORS; INLET FLOW; MOISTURE; MOISTURE DETERMINATION; MULTILAYERS; OPTIMIZATION; PUMPS; SOLUTIONS; SPRAY DRYING; SUGARS; THERMAL LOAD;

NEURAL NETWORKS;

EID: 84860419335     PISSN: 07373937     EISSN: 15322300     Source Type: Journal    
DOI: 10.1080/07373937.2011.592960     Document Type: Article

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