Recurrent neural network-based control for wastewater treatment process

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7368 LNCS, Issue PART 2, 2012, Pages 496-506

  Qiao, Junfei ^a   Huang, Xiaoqi ^a   Han, Honggui ^a  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

BSM1; dissolved oxygen; mixed liquor suspended solids; nitrate nitrogen; RNN based controller; wastewater treatment process

Indexed keywords

ABSOLUTE ERROR; BP NEURAL NETWORKS; BSM1; COMPLEX DYNAMIC BEHAVIOR; CONTROL ACCURACY; CONTROL STRATEGIES; DISSOLVED OXYGEN CONCENTRATIONS; EXPECTED VALUES; INTEGRAL OF THE SQUARE ERRORS; MIXED LIQUOR SUSPENDED SOLIDS; MULTIVARIABLE CONTROL; NETWORK-BASED CONTROL; NITRATE NITROGEN; SELF-ADAPTIVE; SIMULATION MODEL; WASTEWATER TREATMENT PROCESS;

COMPUTER SIMULATION; CONTROLLERS; DISSOLVED OXYGEN; MEAN SQUARE ERROR; PROPORTIONAL CONTROL SYSTEMS; RECLAMATION; RECURRENT NEURAL NETWORKS;

PROCESS CONTROL;

EID: 84865140199     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31362-2_55     Document Type: Conference Paper

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