Modeling denitrifying sulfide removal process using artificial neural networks

Journal of Hazardous Materials

Volumn 168, Issue 2-3, 2009, Pages 1274-1279

  Wang, Aijie ^a   Liu, Chunshuang ^a   Han, Hongjun ^a   Ren, Nanqi ^a   LEE, Duu Jong ^a,b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Artificial neural networks; Denitrifying sulfide removal systems; EGSB; Modeling

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; COMPLEX INTERACTION; COMPLEX RELATIONSHIPS; CONTROL ARCHITECTURE; DENITRIFYING SULFIDE REMOVAL; DENITRIFYING SULFIDE REMOVAL SYSTEMS; EGSB; GRANULAR SLUDGE BED; HYDRAULIC RETENTION TIME; INPUT AND OUTPUTS; MECHANISTIC MODELS; MODELING; NITRITE DENITRIFICATION; PROCESS VARIABLES; REACTOR PERFORMANCE; STEADY STATE PERFORMANCE; SULFIDE CONCENTRATION;

BACKPROPAGATION; DENITRIFICATION; WASTEWATER TREATMENT;

NEURAL NETWORKS;

SULFIDE;

ARTIFICIAL NEURAL NETWORK; BIOREACTOR; CONCENTRATION (COMPOSITION); DENITRIFICATION; FORMATION MECHANISM; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; RETENTION; SULFIDE; THRESHOLD;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOREACTOR; CONTROLLED STUDY; DENITRIFICATION; SIMULATION; SLUDGE TREATMENT; WASTE WATER MANAGEMENT;

BIOREACTORS; NEURAL NETWORKS (COMPUTER); NITROGEN; SEWAGE; SULFIDES;

EID: 67649764429     PISSN: 03043894     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhazmat.2009.03.006     Document Type: Article

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