Artificial neural networks for rapid WWTP performance evaluation: Methodology and case study

Environmental Modelling and Software

Volumn 22, Issue 8, 2007, Pages 1208-1216

  Raduly B ^a   Gernaey, K V ^b,c   Capodaglio, A G ^a   Mikkelsen, P S ^c   Henze, M ^c  

^a UNIVERSITY OF PAVIA   (Italy)

^b LUND UNIVERSITY   (Sweden)

^c TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Artificial neural networks; Modeling; Performance evaluation; Plant design; Simulation speed; Time series; Wastewater treatment plant

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; MATHEMATICAL MODELS; NEURAL NETWORKS; NITROGEN COMPOUNDS; RAIN; TIME SERIES ANALYSIS;

PERFORMANCE EVALUATION; PLANT DESIGN; SIMULATION SPEED; WASTEWATER TREATMENT PLANTS;

WASTEWATER TREATMENT;

AMMONIA; ARTIFICIAL NEURAL NETWORK; BIOCHEMICAL OXYGEN DEMAND; ENVIRONMENTAL DISTURBANCE; PERFORMANCE ASSESSMENT; SIMULATION; SUSPENDED LOAD; TIME SERIES; URBAN SYSTEM; WASTE MANAGEMENT; WASTEWATER;

EID: 33947712235     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2006.07.003     Document Type: Article

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