Estimation of daily dew point temperature using genetic programming and neural networks approaches

Hydrology Research

Volumn 45, Issue 2, 2014, Pages 165-181

  Shiri, Jalal ^a   Kim, Sungwon ^b   Kisi, Ozgur ^c  

^a UNIVERSITY OF TABRIZ   (Iran)

^b Dongyang University   (South Korea)

^c CANIK BASARI UNIVERSITY   (Turkey)

Author keywords

Agro climatology; Dew point temperature; Modeling; Soft computing

Indexed keywords

ATMOSPHERIC PRESSURE; GENETIC PROGRAMMING; INFORMATION MANAGEMENT; METEOROLOGY; MODELS; NEURAL NETWORKS; SOFT COMPUTING;

AGRO-CLIMATOLOGY; AIR TEMPERATURE; ARTIFICIAL NEURAL NETWORK MODELS; DEWPOINT TEMPERATURE; GENE EXPRESSION PROGRAMMING; MANAGEMENT SCENARIOS; REPUBLIC OF KOREA; WEATHER STATIONS;

ESTIMATION;

AIR TEMPERATURE; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC PRESSURE; CLIMATOLOGY; COMPUTER SIMULATION; DATA SET; DEW POINT; ESTIMATION METHOD; GENETIC ANALYSIS; NUMERICAL MODEL; RELATIVE HUMIDITY; SOLAR RADIATION; WEATHER FORECASTING; WEATHER STATION; WIND VELOCITY;

SEOUL [SOUTH KOREA]; SOUTH KOREA;

EID: 84899493198     PISSN: 00291277     EISSN: None     Source Type: Journal    
DOI: 10.2166/nh.2013.229     Document Type: Article

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