Monthly Precipitation Forecasting with a Neuro-Fuzzy Model

Water Resources Management

Volumn 26, Issue 15, 2012, Pages 4467-4483

  Jeong, Changsam ^a   Shin, Ju Young ^b   Kim, Taesoon ^c   Heo, Jun Haneg ^b  

^a Induk University   (South Korea)

^b Yonsei University   (South Korea)

^c Korea Hydro & Nuclear Power Co   (South Korea)

Author keywords

ANFIS; Input data selection; Long term forecast; Neuro fuzzy

Indexed keywords

ANFIS; DATA SETS; ENSEMBLE AVERAGING; FORWARD SELECTION; INPUT DATAS; INPUT VARIABLES; LONG-TERM FORECAST; NEURO-FUZZY; NEURO-FUZZY MODEL; PRECIPITATION FORECAST; PRECIPITATION FORECASTING; RAINFALL FORECASTS; RECORDING DATA; WRAPPER METHODS;

DATA REDUCTION; ERROR ANALYSIS; WEATHER FORECASTING;

PRECIPITATION (METEOROLOGY);

FUZZY MATHEMATICS; NUMERICAL MODEL; PRECIPITATION (CLIMATOLOGY); QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; RAINFALL; WEATHER FORECASTING;

KOREA;

EID: 84868210863     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-012-0157-3     Document Type: Article

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