A hybrid genetic - Neural algorithm for modeling the biodegradation process of DnBP in AAO system

Bioresource Technology

Volumn 102, Issue 19, 2011, Pages 8907-8913

  Huang, Mingzhi ^a,c   Ma, Yongwen ^a,b   Wan, Jinquan ^a   Zhang, Huiping ^a   Wang, Yan ^a,b   Chen, Yangmei ^a   Yoo, ChangKyoo ^c   Guo, Wenjie ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b South China University of Technology   (China)

^c Kyung Hee University   (South Korea)

Author keywords

Anaerobic anoxic oxic system; Biodegradation; Di n butyl phthalate (DnBP); GA ANN model; Kinetic model

Indexed keywords

ANAEROBIC-ANOXIC-OXIC SYSTEMS; ARTIFICIAL NEURAL NETWORK; BIODEGRADATION PROCESS; DI-N-BUTYL PHTHALATE; EMPIRICAL EQUATIONS; EXPERIMENTAL DATA; GA-ANN MODEL; HYBRID ARTIFICIAL NEURAL NETWORK; HYBRID GENETIC; KINETIC MODEL; KINETIC MODELS; MECHANISM MODEL; NEURAL ALGORITHM; NUMERICAL TECHNIQUES; PHTHALATES; REMOVAL KINETICS; STEADY-STATE MODELS; WATER QUALITY CHARACTERISTICS;

ANOXIC SEDIMENTS; DEGRADATION; EFFLUENTS; EQUATIONS OF STATE; ESTERS; GENETIC ALGORITHMS; KINETIC THEORY; KINETICS; MICROBIOLOGY; NEURAL NETWORKS; SORPTION; WATER QUALITY;

BIODEGRADATION;

PHTHALIC ACID DIBUTYL ESTER;

ANOXIC CONDITIONS; ARTIFICIAL NEURAL NETWORK; BIODEGRADATION; EMPIRICAL ANALYSIS; GENETIC ALGORITHM; HYBRID; NUMERICAL MODEL; SORPTION; WATER QUALITY;

ANAEROBIC ANOXIC OXIC SYSTEM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIODEGRADATION; CONTROLLED STUDY; GENETIC ALGORITHM; HYBRID ARTIFICIAL NEURAL NETWORK; INTERMETHOD COMPARISON; KINETICS; OXIDATION; PRIORITY JOURNAL; SIMULATION; WATER QUALITY;

ADSORPTION; AEROBIOSIS; ALGORITHMS; ANAEROBIOSIS; BIODEGRADATION, ENVIRONMENTAL; DIBUTYL PHTHALATE; KINETICS; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER);

EID: 80052344534     PISSN: 09608524     EISSN: 18732976     Source Type: Journal    
DOI: 10.1016/j.biortech.2011.06.046     Document Type: Article

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