Evaluation and prediction of membrane fouling in a submerged membrane bioreactor with simultaneous upward and downward aeration using artificial neural network-genetic algorithm

Process Safety and Environmental Protection

Volumn 96, Issue , 2015, Pages 111-124

  Mirbagheri, Seyed Ahmad ^a   Bagheri, Majid ^a   Bagheri, Zahra ^b   Kamarkhani, Ali Morad ^c  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^b PUK University   (Iran)

^c RAZI UNIVERSITY   (Iran)

Author keywords

Artificial neural networks; Hollow fiber membrane; Membrane fouling; Membrane permeability; Simultaneous aeration; Trans membrane pressure

Indexed keywords

ALGORITHMS; BIOREACTORS; EFFICIENCY; GENETIC ALGORITHMS; MEMBRANE FOULING; NEURAL NETWORKS; NITROGEN REMOVAL; RADIAL BASIS FUNCTION NETWORKS; REMOVAL; THERMOMECHANICAL PULPING PROCESS;

EVALUATION AND PREDICTIONS; HOLLOW FIBER MEMBRANES; MEMBRANE PERMEABILITY; MULTI LAYER PERCEPTRON; RADIAL BASIS FUNCTION ARTIFICIAL NEURAL NETWORKS; SUBMERGED MEMBRANE BIOREACTORS; TRANSMEMBRANE PRESSURES; TRIAL-AND-ERROR APPROACH;

MEMBRANES;

EID: 84945179765     PISSN: 09575820     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.psep.2015.03.015     Document Type: Article

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