Self-Organizing Map based operating regime estimation for state based control of wastewater treatment plants

Proceedings of the 2011 International Conference of Soft Computing and Pattern Recognition, SoCPaR 2011

Volumn , Issue , 2011, Pages 390-395

  Kern, Peter ^a   Wolf, Christian ^a   Bongards, Michael ^a   Oyetoyan, Tosin Daniel ^b   McLoone, Seán ^c  

^a Verkehr und Wasser Lehr und Forschungsgebiet Geotechnik und Tunnelbau   (Germany)

^b NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^c NATIONAL UNIVERSITY OF IRELAND   (Ireland)

Author keywords

Clustering; Genetic Algorithm; Optimization; Self Organizing Maps; State based Control; Wastewater Treatment

Indexed keywords

ACTIVATED SLUDGE MODEL NO.1; CLUSTERING; CONTROL STRATEGIES; EFFICIENT CONTROL; OPERATING REGIMES; OPERATION REGIME; OPERATIONAL PATTERNS; OPTIMAL CONTROLS; PROCESS DATA; PROCESS VARIABLES; SELF ORGANIZING; SETPOINTS; SIMULATION MODEL; STATE-BASED; WASTEWATER TREATMENT PLANTS;

ACTIVATED SLUDGE PROCESS; COMPUTER SIMULATION; CONFORMAL MAPPING; EFFLUENTS; GENETIC ALGORITHMS; OPTIMIZATION; PATTERN RECOGNITION; RECLAMATION; SELF ORGANIZING MAPS; SEWAGE PUMPING PLANTS; SOFT COMPUTING; WASTEWATER; WASTEWATER TREATMENT; WATER TREATMENT PLANTS;

CLUSTERING ALGORITHMS;

EID: 83655164859     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SoCPaR.2011.6089275     Document Type: Conference Paper

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