Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring

Environmental Science and Pollution Research

Volumn 21, Issue 3, 2014, Pages 1658-1670

  Najah, A ^a   El Shafie, A ^b   Karim, O A ^b   El Shafie, Amr H ^c  

^a UNIVERSITI MALAYSIA TERENGGANU   (Malaysia)

^b UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

^c UNIVERSITY OF BENGHAZI   (Libyan Arab Jamahiriya)

Author keywords

ANFIS; Dissolved oxygen; Johor River; Water quality prediction

Indexed keywords

OXYGEN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL MODEL; CHEMISTRY; COMPARATIVE STUDY; ENVIRONMENTAL MONITORING; FUZZY LOGIC; METHODOLOGY; RIVER; STATISTICS; WATER POLLUTANT; WATER POLLUTION; WATER QUALITY;

ENVIRONMENTAL MONITORING; FUZZY LOGIC; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); OXYGEN; RIVERS; WATER POLLUTANTS, CHEMICAL; WATER POLLUTION, CHEMICAL; WATER QUALITY;

EID: 84895075043     PISSN: 09441344     EISSN: 16147499     Source Type: Journal    
DOI: 10.1007/s11356-013-2048-4     Document Type: Article

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