Improving Rainfall Forecasting Efficiency Using Modified Adaptive Neuro-Fuzzy Inference System (MANFIS)

Water Resources Management

Volumn 27, Issue 9, 2013, Pages 3507-3523

  Akrami, Seyed Ahmad ^a   El Shafie, Ahmed ^a   Jaafar, Othman ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

Adaptive neuro fuzzy Inference systems (ANFIS); Converges of iterations; Fitting parameters; Fuzzy rules; Modified ANFIS; Rainfall prediction

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; CONVERGES OF ITERATIONS; FITTING PARAMETERS; MODIFIED ANFIS; RAINFALL PREDICTION;

FORECASTING; FUZZY RULES; FUZZY SYSTEMS; MEAN SQUARE ERROR; NEURAL NETWORKS; NONLINEAR SYSTEMS; TRACKING (POSITION); WATER MANAGEMENT;

RAIN;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; FORECASTING METHOD; FUZZY MATHEMATICS; PREDICTION; RAINFALL; SIGNAL-TO-NOISE RATIO;

EID: 84878763355     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-013-0361-9     Document Type: Article

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