A fuzzy neural network model for monitoring A 2/O process using on-line monitoring parameters

Journal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering

Volumn 47, Issue 5, 2012, Pages 744-754

  Hu, Kang ^a   Wan, Jin Q ^a   Ma, Yong W ^a   Wang, Yan ^a   Huang, Ming Z ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Adaptive network based fuzzy inference system (ANFIS); anaerobic anoxic oxic (A 2 O) process; artificial neural network (ANN); genetic algorithm (GA); wastewater treatment

Indexed keywords

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; AEROBIC REACTOR; AMMONIA NITROGEN; ANAEROBIC/ANOXIC/ OXIC (A 2/O) PROCESS; ARTIFICIAL NEURAL NETWORK (ANN); ARTIFICIAL NEURAL NETWORK MODELS; CORRELATION COEFFICIENT; FUZZY C-MEANS CLUSTERING ALGORITHMS; FUZZY NEURAL NETWORK MODEL; GENETIC ALGORITHM (GA); HYDRAULIC RETENTION TIME; INPUT VARIABLES; MEAN ABSOLUTE PERCENTAGE ERROR; ONLINE MONITORING; PROCESS PERFORMANCE; REAL-CODE GENETIC ALGORITHMS; RETURN RATIO; ROOT MEAN SQUARE ERRORS; WEIGHT VECTOR;

CHEMICAL OXYGEN DEMAND; FORECASTING; FUZZY SYSTEMS; GENETIC ALGORITHMS; MEAN SQUARE ERROR; NEURAL NETWORKS; OPTIMIZATION; WASTEWATER TREATMENT;

VOLTAGE MEASUREMENT;

AMMONIA; DISSOLVED OXYGEN; NITROGEN;

AEROBIC REACTOR; ANAEROBIC METABOLISM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL OXYGEN DEMAND; GENETIC ALGORITHM; HYDRAULIC RETENTION TIME; ONLINE MONITORING; PH; PREDICTION; TIME; WASTE WATER MANAGEMENT;

AEROBIOSIS; ALGORITHMS; ANAEROBIOSIS; BIOLOGICAL OXYGEN DEMAND ANALYSIS; BIOREACTORS; COMPUTER SIMULATION; FUZZY LOGIC; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); ONLINE SYSTEMS; QUATERNARY AMMONIUM COMPOUNDS; WASTE DISPOSAL, FLUID; WATER POLLUTANTS, CHEMICAL;

EID: 84859167428     PISSN: 10934529     EISSN: 15324117     Source Type: Journal    
DOI: 10.1080/10934529.2012.660102     Document Type: Article

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