Application of adaptive neuro-fuzzy inference system (ANFIS) to estimate the biochemical oxygen demand (BOD) of Surma River

Journal of King Saud University - Engineering Sciences

Volumn 29, Issue 3, 2017, Pages 237-243

  Ahmed, A A Masrur ^a   Shah, Syed Mustakim Ali ^a  

^a Leading University   (Bangladesh)

Author keywords

Adaptive neuro fuzzy inference system; Bangladesh; Biochemical oxygen demand; Surma River; Sylhet; Water quality

Indexed keywords

ALKALINITY; BIOCHEMICAL OXYGEN DEMAND; CALCITE; CALCIUM CARBONATE; FORECASTING; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; MEAN SQUARE ERROR; OXYGEN; RIVERS; WATER HARDNESS; WATER QUALITY;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; BANGLADESH; BIOCHEMICAL OXYGEN DEMANDS (BOD); CORRELATION COEFFICIENT; MEAN ABSOLUTE ERROR; SYLHET; TOTAL DISSOLVED SOLIDS; WATER QUALITY PARAMETERS;

FUZZY INFERENCE;

EID: 85021645869     PISSN: 10183639     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jksues.2015.02.001     Document Type: Article

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