Prediction of water quality parameters of Karoon River (Iran) by artificial intelligence-based models

International Journal of Environmental Science and Technology

Volumn 11, Issue 3, 2014, Pages 645-656

  Emamgholizadeh, S ^a   Kashi, H ^a   Marofpoor, I ^b   Zalaghi, E ^c  

^a SHAHROOD UNIVERSITY OF TECHNOLOGY   (Iran)

^b UNIVERSITY OF KURDISTAN   (Iran)

^c Khuzestan Water and Power Authority Company   (Iran)

Author keywords

ANFIS; ANN; Karoon River; Water quality

Indexed keywords

BIOCHEMICAL OXYGEN DEMAND; MEAN SQUARE ERROR; NEURAL NETWORKS; WATER QUALITY;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; ANN; BIOCHEMICAL OXYGEN DEMANDS (BOD); COEFFICIENT OF DETERMINATION; KAROON RIVER; WATER QUALITY PARAMETERS; WATER QUALITY VARIABLES;

RIVERS;

ARTIFICIAL NEURAL NETWORK; DISSOLVED OXYGEN; INORGANIC COMPOUND; METAL; NUMERICAL MODEL; PARAMETERIZATION; PH; WATER QUALITY;

IRAN; KAROON RIVER; KHUZESTAN;

EID: 84900376489     PISSN: 17351472     EISSN: 17352630     Source Type: Journal    
DOI: 10.1007/s13762-013-0378-x     Document Type: Article

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