Prediction of membrane fouling in the pilot-scale microfiltration system using genetic programming

Desalination

Volumn 247, Issue 1-3, 2009, Pages 285-294

  Lee, Tae Mun ^a,c   Oh, Hyunje ^a,c   Choung, Youn Kyoo ^a   Oh, Sanghoun ^b   Jeon, Moongu ^b   Kim, Joon Ha ^b   Nam, Sook Hyun ^c   Lee, Sangho ^c  

^a Yonsei University   (South Korea)

^b Gwangju Institute of Science and Technology (GIST)   (South Korea)

^c Korea Institute of Civil Engineering and Building Technology   (South Korea)

Author keywords

Genetic programming; Membrane fouling; Prediction

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CHANGING OPERATING CONDITIONS; DRINKING WATER PRODUCTION; FEED WATER; FEED-FORWARD; FILTRATION PERFORMANCE; FILTRATION TIME; INPUT PARAMETER; MACHINE-LEARNING; MATHEMATICAL FUNCTIONS; MEMBRANE PERFORMANCE; MEMBRANE SYSTEM; MICROFILTRATION SYSTEMS; MODEL MEMBRANES; OPERATING CONDITION; PHYSICAL PROCESS; PILOT SCALE; PREDICTION;

BACKPROPAGATION; COMPUTER PROGRAMMING; COMPUTER SOFTWARE SELECTION AND EVALUATION; FUNCTIONS; LEARNING ALGORITHMS; MEMBRANE FOULING; MEMBRANES; MICROFILTRATION; MODELS; NEURAL NETWORKS; PILOT PLANTS; POROUS MATERIALS; POTABLE WATER; TURBIDITY; WATER FILTRATION; WATER POLLUTION; WATER QUALITY;

HYDRAULIC MODELS;

FILTRATION; FOULING; GENETIC ALGORITHM; MEMBRANE; PREDICTION; WATER QUALITY; WATER TREATMENT;

ALGAE;

EID: 69349101736     PISSN: 00119164     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.desal.2008.12.031     Document Type: Article

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