Modeling of heating and cooling performance of counter flow type vortex tube by using artificial neural network

International Journal of Refrigeration

Volumn 33, Issue 5, 2010, Pages 963-972

  Kocabas, Fikret ^a   Korkmaz, Murat ^b   Sorgucu, Ugur ^a   Donmez, Senayi ^c  

^a Bartn University   (Turkey)

^b HACETTEPE UNIVERSITY   (Turkey)

^c Civil Engineering Department   (Turkey)

Author keywords

Cooling; Heating; Modelling; Neural network; Performance; Refrigeration system; Vortex tube

Indexed keywords

ABSOLUTE ERROR; ARTIFICIAL NEURAL NETWORK; BACKPROPAGATION LEARNING ALGORITHM; COEFFICIENT OF DETERMINATION; COLD MASS; COOLING PERFORMANCE; COUNTER-FLOWS; DEVELOPED MODEL; INLET PRESSURES; LEVENBERG-MARQUARDT; MASS FLOW RATE; MULTI-LINEAR REGRESSION; PERFORMANCE; REFRIGERATION SYSTEM; ROOT-MEANS-SQUARE ERRORS; SIGMOID TRANSFER FUNCTION; STATISTICAL VALIDITY; SYSTEM OUTPUT; VORTEX TUBE;

BACKPROPAGATION ALGORITHMS; CAPILLARY TUBES; COOLING; DATA FLOW ANALYSIS; HEATING; INLET FLOW; LEARNING ALGORITHMS; NOZZLES; REFRIGERATING MACHINERY; REFRIGERATION; REFRIGERATORS; TUBES (COMPONENTS); VORTEX FLOW;

NEURAL NETWORKS;

EID: 77955231039     PISSN: 01407007     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrefrig.2010.02.006     Document Type: Article

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