Adaptive dissolved oxygen control based on dynamic structure neural network

Applied Soft Computing Journal

Volumn 11, Issue 4, 2011, Pages 3812-3820

  Han, Hong Gui ^a   Qiao, Jun Fei ^a  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Dissolved oxygen (DO) concentration control; Dynamic structure neural networks (DSNN); Growing and pruning algorithm; Wastewater treatment process (WWTP)

Indexed keywords

ACTIVATED SLUDGE; ADAPTIVE CONTROLLERS; CONTROL ACCURACY; CONTROL PERFORMANCE; DISSOLVED OXYGEN CONCENTRATIONS; DISSOLVED OXYGEN CONTROL; DO CONCENTRATION; DYNAMIC STRUCTURE NEURAL NETWORK; DYNAMIC STRUCTURE NEURAL NETWORKS (DSNN); EFFECTIVE SOLUTION; FIXED STRUCTURE; GROWING AND PRUNING; MODEL CHANGE; NONLINEAR BEHAVIOR; NUMERICAL SIMULATION; ON DYNAMICS; OPERATING CHARACTERISTICS; WASTEWATER TREATMENT PROCESS; WASTEWATER TREATMENT PROCESS (WWTP);

ACTIVATED SLUDGE PROCESS; ALGORITHMS; BIOCHEMICAL OXYGEN DEMAND; CONCENTRATION (PROCESS); CONTROLLERS; DISSOLUTION; DISSOLVED OXYGEN; FEEDFORWARD NEURAL NETWORKS; OPTICAL CHARACTER RECOGNITION; RECLAMATION; WASTEWATER; WASTEWATER TREATMENT; WATER TREATMENT PLANTS;

ADAPTIVE CONTROL SYSTEMS;

EID: 79954612729     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.02.014     Document Type: Article

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