Modelling of a direct evaporative air cooler using artificial neural network

International Journal of Energy Research

Volumn 32, Issue 1, 2008, Pages 83-89

  Hosoz, M ^a   Ertunc, H M ^a   Ozguc, A F ^b  

^a KOCAELI UNIVERSITY   (Turkey)

^b ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Direct evaporative cooler; Evaporative cooling

Indexed keywords

ARTIFICIAL INTELLIGENCE; ATMOSPHERIC HUMIDITY; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; COOLING; COOLING SYSTEMS; COOLING WATER; CORRELATION METHODS; CURING; ELECTRIC FAULT LOCATION; ERRORS; EVAPORATIVE COOLING SYSTEMS; EXPERIMENTS; FLOW RATE; FORECASTING; IMAGE CLASSIFICATION; METEOROLOGY; MOISTURE; NETWORK PROTOCOLS; OFFSHORE OIL WELL PRODUCTION; SENSOR NETWORKS; VEGETATION;

AIR COOLERS; AIR STREAMS; ANN MODELS; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; COOLING-RATE; CORRELATION COEFFICIENTS; DIRECT EVAPORATIVE COOLER; DRY BULB TEMPERATURES; EVAPORATIVE COOLERS; EVAPORATIVE COOLING; EXPERIMENTAL DATUM; EXPERIMENTAL VALUES; MASS FLOW RATES; MEAN RELATIVE ERRORS; MODELLING; MODELLING TECHNIQUES; PERFORMANCE PARAMETERS; ROOT MEAN SQUARE ERRORS; WATER STREAMS;

NEURAL NETWORKS;

EID: 54949118774     PISSN: 0363907X     EISSN: 1099114X     Source Type: Journal    
DOI: 10.1002/er.1336     Document Type: Article

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