Prediction of microfiltration membrane fouling using artificial neural network models

Separation and Purification Technology

Volumn 70, Issue 1, 2009, Pages 96-102

  Liu, Qi Feng ^a   Kim, Seung Hyun ^a   Lee, Sangho ^b  

^a Kyungnam University   (South Korea)

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

Author keywords

Artificial neural networks; Fouling; Microfiltration; TMP

Indexed keywords

ANN PREDICTION; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; ARTIFICIAL NEURAL NETWORKS; BACKWASH FREQUENCY; CRITICAL FLUX; EXPERIMENTAL DATA; FEED WATER; INPUT VARIABLES; MEMBRANE PERFORMANCE; MICRO-FILTRATION MEMBRANES; MODELING RESULTS; OPERATING PARAMETERS; OPERATING TIME; OPERATIONAL FACTORS; PERMEATE FLUX; RELATIVE WEIGHTS; TRANSMEMBRANE PRESSURES;

MEMBRANE FOULING; MICROFILTRATION; THERMOMECHANICAL PULPING PROCESS; TURBIDITY; WATER FILTRATION; WATER QUALITY; WATER TREATMENT;

NEURAL NETWORKS;

EID: 77349122829     PISSN: 13835866     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.seppur.2009.08.017     Document Type: Article

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