Case-based reasoning, a promising tool to face solids separation problems in the activated sludge process

Water Science and Technology

Volumn 53, Issue 1, 2006, Pages 209-216

  Martínez, Montse ^a   Sànchez Marrè, Miquel ^b   Comas, J ^a   Rodríguez Roda, Ignasi ^a  

^a UNIVERSITY OF GIRONA   (Spain)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

Activated sludge; Bulking; Case based reasoning; Decision support; Solids separation problems; Wastewater

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; KNOWLEDGE BASED SYSTEMS; MICROBIOLOGY; SEPARATION; SOLIDS; WASTEWATER TREATMENT;

BULKING; CASE BASED REASONING; SOLIDS SEPARATION PROBLEMS;

ACTIVATED SLUDGE PROCESS;

NITROGEN; OXYGEN; PHOSPHORUS;

ACTIVATED SLUDGE PROCESS; ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; KNOWLEDGE BASED SYSTEMS; MICROBIOLOGY; SEPARATION; SOLIDS; WASTEWATER TREATMENT;

ACTIVATED SLUDGE;

ACCURACY; ACTIVATED SLUDGE; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; CHEMICAL OXYGEN DEMAND; COMPUTER SIMULATION; DECISION SUPPORT SYSTEM; FEASIBILITY STUDY; SEPARATION TECHNIQUE; SYSTEM ANALYSIS; VALIDATION PROCESS; WASTE COMPONENT REMOVAL; WASTE WATER MANAGEMENT;

DECISION SUPPORT TECHNIQUES; MODELS, THEORETICAL; PARTICLE SIZE; WASTE DISPOSAL, FLUID;

EID: 33644623267     PISSN: 02731223     EISSN: None     Source Type: Book Series    
DOI: 10.2166/wst.2006.023     Document Type: Article

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