Estimation of air dew point temperature using computational intelligence schemes

Applied Thermal Engineering

Volumn 93, Issue , 2016, Pages 1043-1052

  Baghban, Alireza ^a   Bahadori, Mohammad ^b   Rozyn, Jake ^c   Lee, Moonyong ^d   Abbas, Ali ^e   Bahadori, Alireza ^c   Rahimali, Arash ^a  

^a PETROLEUM UNIVERSITY OF TECHNOLOGY   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

^c SOUTHERN CROSS UNIVERSITY   (Australia)

^d Yeungnam University   (South Korea)

^e UNIVERSITY OF SYDNEY   (Australia)

Author keywords

ANFIS; Dew point; GA; LSSVM; Modeling; Moist air

Indexed keywords

ARTIFICIAL INTELLIGENCE; ATMOSPHERIC HUMIDITY; ATMOSPHERIC PRESSURE; COMPUTATION THEORY; FUZZY INFERENCE; FUZZY SYSTEMS; GALLIUM; GENETIC ALGORITHMS; MEAN SQUARE ERROR; MODELS; PROTECTIVE COATINGS; SUPPORT VECTOR MACHINES;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; DEW POINTS; LEAST SQUARE SUPPORT VECTOR MACHINES; LSSVM; MOIST AIR; STATISTICAL LEARNING THEORY; TEMPERATURE AND RELATIVE HUMIDITY;

ATMOSPHERIC TEMPERATURE;

EID: 84946606437     PISSN: 13594311     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.applthermaleng.2015.10.056     Document Type: Article

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