Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA

Water Resources Management

Volumn 32, Issue 1, 2018, Pages 105-122

  Yaseen, Zaher Mundher ^a,b   Ghareb, Mazen Ismaeel ^c,d   Ebtehaj, Isa ^e   Bonakdari, Hossein ^e   Siddique, Ridwan ^f,g   Heddam, Salim ^h   Yusif, Ali A ⁱ   Deo, Ravinesh ^j  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

^b UNIVERSITY OF ANBAR   (Iraq)

^c UNIVERSITY OF HUMAN DEVELOPMENT   (Iraq)

^d UNIVERSITY OF HUDDERSFIELD   (United Kingdom)

^e RAZI UNIVERSITY   (Iran)

^f UNIVERSITY OF MASSACHUSETTS   (United States)

^g University of Massachusetts   (United States)

^h UNIVERSITY OF SKIKDA   (Algeria)

ⁱ UNIVERSITY OF DUHOK   (Iraq)

^j UNIVERSITY OF SOUTHERN QUEENSLAND   (Australia)

more..

Author keywords

Hybrid ANFIS FFA model; Rainfall forecasting; Stochastic pattern; Tropical environment

Indexed keywords

CATCHMENTS; FORECASTING; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; INFERENCE ENGINES; MEAN SQUARE ERROR; OPTIMIZATION; RAIN; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; WEATHER FORECASTING;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; COEFFICIENT OF DETERMINATION; HYBRID INTELLIGENT MODEL; OPTIMIZATION ALGORITHMS; RAINFALL FORECASTING; ROOT MEAN SQUARE ERRORS; STOCHASTIC PATTERN; TROPICAL ENVIRONMENTS;

FUZZY INFERENCE;

ALGORITHM; FORECASTING METHOD; FUZZY MATHEMATICS; NUMERICAL MODEL; RAINFALL; STOCHASTICITY; TROPICAL ENVIRONMENT;

EID: 85029529514     PISSN: 09204741     EISSN: 15731650     Source Type: Journal    
DOI: 10.1007/s11269-017-1797-0     Document Type: Article

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