Precipitable water modelling using artificial neural network in Çukurova region

Environmental Monitoring and Assessment

Volumn 184, Issue 1, 2012, Pages 141-147

  Şenkal, Ozan ^a   YIldIz, B Yiǧit ^a   Şahin, Mehmet ^b   PestemalcI, Vedat ^a  

^a CUKUROVA UNIVERSITY   (Turkey)

^b SIIRT UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; ukurova region; Meteorology; Precipitable water

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC VARIABLES; CLIMATE SYSTEM; CORRELATION COEFFICIENT; GEOGRAPHICAL DATA; INPUT LAYERS; LEVENBERG-MARQUARDT LEARNING ALGORITHMS; METEOROLOGICAL RADIOSONDE; PRECIPITABLE WATER; PREDICTION TECHNIQUES; SIGMOID TRANSFER FUNCTION; TIME-PERIODS;

ATMOSPHERIC HUMIDITY; FORECASTING; LEARNING ALGORITHMS; METEOROLOGY; NETWORK LAYERS; RADIOSONDES;

NEURAL NETWORKS;

AIR TEMPERATURE; ALGORITHM; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC PRESSURE; NUMERICAL MODEL; PRECIPITABLE WATER; PRECIPITATION ASSESSMENT; PREDICTION; RADIOSONDE; RELATIVE HUMIDITY; TRANSFER FUNCTION;

ACCURACY; AIR TEMPERATURE; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC PRESSURE; CONTROLLED STUDY; GREENHOUSE EFFECT; HUMIDITY; INTERMETHOD COMPARISON; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; METEOROLOGICAL PHENOMENA; PREDICTION; PREDICTIVE VALUE; PRESSURE MEASUREMENT; TURKEY (REPUBLIC); VALIDATION PROCESS; WATER VAPOR;

ENVIRONMENTAL MONITORING; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); STEAM; TURKEY; WATER CYCLE;

CUKUROVA; TURKEY;

EID: 82255163990     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-011-1953-6     Document Type: Article

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