Prediction of long-term monthly precipitation using several soft computing methods without climatic data

International Journal of Climatology

Volumn 35, Issue 14, 2015, Pages 4139-4150

  Kisi, Ozgur ^a   Sanikhani, Hadi ^b  

^a CANIK BASARI UNIVERSITY   (Turkey)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Adaptive neuro fuzzy; Geographical inputs; Neural networks; Precipitation; Support vector regression

Indexed keywords

FORECASTING; FUZZY INFERENCE; FUZZY SYSTEMS; NEURAL NETWORKS; PRECIPITATION (CHEMICAL); SOFT COMPUTING; WATER RESOURCES;

ADAPTIVE NEURO-FUZZY; ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANNUAL PRECIPITATION; GEOGRAPHICAL INPUTS; MAXIMUM CORRELATIONS; SOFT COMPUTING METHODS; SUBTRACTIVE CLUSTERING; SUPPORT VECTOR REGRESSION (SVR);

FUZZY NEURAL NETWORKS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; CLIMATE PREDICTION; FUZZY MATHEMATICS; PRECIPITATION (CLIMATOLOGY); PRECIPITATION ASSESSMENT; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINE;

EID: 84957940256     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.4273     Document Type: Article

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