Prediction model of DnBP degradation based on BP neural network in AAO system

Bioresource Technology

Volumn 102, Issue 6, 2011, Pages 4410-4415

  Ma, Yongwen ^a   Huang, Mingzhi ^a   Wan, Jinquan ^a,b   Wang, Yan ^a   Sun, Xiaofei ^a   Zhang, Huiping ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b South China University of Technology   (China)

Author keywords

Anaerobic anoxic oxic system; Back propagation predication model; Di n butyl phthalate (DnBP); Kinetic model

Indexed keywords

ANAEROBIC-ANOXIC-OXIC SYSTEMS; ARTIFICIAL NEURAL NETWORK MODELS; BATCH EXPERIMENTS; BP MODEL; BP NETWORKS; BP NEURAL NETWORKS; DI-N-BUTYL PHTHALATE; EMPIRICAL EQUATIONS; EXPERIMENTAL DATA; KINETIC MODEL; KINETIC MODELS; LABORATORY SCALE; MATHEMATICAL MODELING; MULTI-LAYERED; OXIC CONDITIONS; PREDICTION MODEL; RELATIVE ERRORS; REMOVAL KINETICS; WATER QUALITY CHARACTERISTICS;

ANOXIC SEDIMENTS; BIODEGRADATION; DEGRADATION; EFFLUENTS; ESTERS; FORECASTING; KINETIC PARAMETERS; KINETIC THEORY; MATHEMATICAL MODELS; MICROBIOLOGY; NEURAL NETWORKS; SORPTION; WATER POLLUTION; WATER QUALITY;

BACKPROPAGATION;

PHTHALIC ACID DIBUTYL ESTER;

ANOXIC CONDITIONS; ARTIFICIAL NEURAL NETWORK; BIODEGRADATION; EMPIRICAL ANALYSIS; LABORATORY METHOD; NUMERICAL MODEL; OXIC CONDITIONS; REACTION KINETICS; SORPTION; WATER QUALITY;

ABSORPTION; ACCURACY; ANAEROBIC ANOXIC OXIC SYSTEM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BIODEGRADATION; CONTROLLED STUDY; ENVIRONMENTAL IMPACT; KINETICS; LEARNING ALGORITHM; MATHEMATICAL MODEL; PREDICTION; PRIORITY JOURNAL; WASTE COMPONENT REMOVAL; WATER QUALITY;

AEROBIOSIS; ALGORITHMS; ANAEROBIOSIS; BIODEGRADATION, ENVIRONMENTAL; COMPUTER SIMULATION; DIBUTYL PHTHALATE; KINETICS; NEURAL NETWORKS (COMPUTER);

EID: 79551682319     PISSN: 09608524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biortech.2011.01.004     Document Type: Article

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