A comparative study of artificial neural networks and neuro-fuzzy in continuous modeling of the daily and hourly behaviour of runoff

Journal of Hydrology

Volumn 337, Issue 1-2, 2007, Pages 22-34

  Aqil, Muhammad ^a   Kita, Ichiro ^b   Yano, Akira ^b   Nishiyama, Soichi ^c  

^a TOTTORI UNIVERSITY   (Japan)

^b SHIMANE UNIVERSITY   (Japan)

^c YAMAGUCHI UNIVERSITY   (Japan)

Author keywords

Modeling; Neural networks; Neuro fuzzy; Rainfall runoff

Indexed keywords

ALGORITHMS; GRAPHICAL USER INTERFACES; HYDROLOGY; MATHEMATICAL MODELS; NEURAL NETWORKS; WATER MANAGEMENT;

CONTINUOUS MODELING; NEURO-FUZZY SYSTEM; RAINFALL-RUNOFF;

RUNOFF;

ALGORITHMS; GRAPHICAL USER INTERFACES; HYDROLOGY; MATHEMATICAL MODELS; NEURAL NETWORKS; RUNOFF; WATER MANAGEMENT;

ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; DIURNAL VARIATION; FUZZY MATHEMATICS; PERFORMANCE ASSESSMENT; RAINFALL-RUNOFF MODELING; WATER MANAGEMENT;

EID: 33947572974     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2007.01.013     Document Type: Article

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