Neural networks complemented with genetic algorithms and fuzzy systems for predicting nitrogenous effluent variables in wastewater treatment plants

WSEAS Transactions on Systems

Volumn 7, Issue 6, 2008, Pages 695-705

  Clara, Narcis ^a  

^a UNIVERSITY OF GIRONA   (Spain)

Author keywords

Environmental modeling; Fuzzy systems; Genetic algorithms; Neural networks; Total kjedhal nitrogen; Total nitrogen; Wastewater treatment plant

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOGEOCHEMISTRY; BIOLOGICAL MATERIALS; CHEMICAL OXYGEN DEMAND; CONTROL THEORY; EFFLUENT TREATMENT; FORECASTING; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; GENETIC ALGORITHMS; LEARNING ALGORITHMS; NEURAL NETWORKS; NITROGEN; NONMETALS; OFFSHORE OIL WELL PRODUCTION; ORGANIC COMPOUNDS; POLLUTION; SEWAGE PUMPING PLANTS; TOXICITY; WASTEWATER; WASTEWATER RECLAMATION; WASTEWATER TREATMENT; WATER POLLUTION; WATER QUALITY; WATER TREATMENT; WATER TREATMENT PLANTS; WELL TESTING;

CHEMICAL-; ENVIRONMENTAL MODELING; LEARNING TECHNIQUES; ORGANIC MATTER; SUSPENDED SOLIDS; TOTAL KJEDHAL NITROGEN; TOTAL NITROGEN; VALIDATION SETS; WASTE WATER TREATMENT PLANTS; WASTEWATER TREATMENT PLANT;

EFFLUENTS;

EID: 48849089672     PISSN: 11092777     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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