Prediction of moving bed biofilm reactor (MBBR) performance for the treatment of aniline using artificial neural networks (ANN)

Journal of Hazardous Materials

Volumn 179, Issue 1-3, 2010, Pages 769-775

  Delnavaz, M ^a   Ayati, B ^a   Ganjidoust, H ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Aniline; COD; Moving bed biofilm reactor; Neural networks

Indexed keywords

AROMATIC AMINES; ARTIFICIAL NEURAL NETWORK; COD; EFFICIENCY EVALUATION; EXPANDED CLAY; EXPLORATORY DATA ANALYSIS; MOVING BED BIOFILM REACTOR; MOVING BED BIOFILM REACTORS; NEURAL NETWORK MODEL; RETENTION TIME; TRAINING AND TESTING;

ANILINE; BIOFILMS; BIOFILTERS; BIOREACTORS; FORECASTING;

NEURAL NETWORKS;

ANILINE;

AROMATIC HYDROCARBON; ARTIFICIAL NEST; BIODEGRADATION; BIOFILM; BIOREACTOR; CHEMICAL OXYGEN DEMAND; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; POLLUTANT REMOVAL;

AEROBIC CAPACITY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOREACTOR; CHEMICAL OXYGEN DEMAND; CLAY; CONTROLLED STUDY; FORECASTING; MOVING BED BIOFILM REACTOR; PREDICTION; REACTOR OPERATION; WASTE WATER MANAGEMENT;

ALGORITHMS; ANILINE COMPOUNDS; ARTIFICIAL INTELLIGENCE; BIOFILMS; BIOREACTORS; DATABASES, FACTUAL; FORECASTING; INDUSTRIAL WASTE; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); OXYGEN; REPRODUCIBILITY OF RESULTS; SPECTROPHOTOMETRY, ULTRAVIOLET; WASTE DISPOSAL, FLUID; WATER MICROBIOLOGY;

EID: 77952889909     PISSN: 03043894     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhazmat.2010.03.069     Document Type: Article

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