Application of genetic programming to develop the model for estimating membrane damage in the membrane integrity test using fluorescent nanoparticle

Desalination

Volumn 281, Issue 1, 2011, Pages 80-87

  Suh, Changwon ^a   Choi, Byeonggyu ^a   Lee, Seockheon ^a   Kim, Dooil ^b   Cho, Jinwoo ^c  

^a Korea Institute of Science and Technology   (South Korea)

^b Dankook University   (South Korea)

^c Sejong University   (South Korea)

Author keywords

Fluorescent silica nanoparticle; Genetic programming; Image analysis; Integrity test; Membrane

Indexed keywords

ALTERNATIVE APPROACH; ARTIFICIAL INTELLIGENCE TECHNIQUES; ARTIFICIAL NEURAL NETWORK; DATA-DRIVEN; ESTIMATION MODELS; EXPERIMENTAL CONDITIONS; EXPERIMENTAL DATA; EXPLICIT EQUATIONS; FLUORESCENT NANOPARTICLES; FLUORESCENT SILICA NANOPARTICLES; INTEGRITY TESTS; MEMBRANE DAMAGE; MEMBRANE INTEGRITY; MICRO-FILTRATION MEMBRANES; ROBUST APPROACHES; TRANSMEMBRANE PRESSURES; WATER FLUX;

ESTIMATION; FLUORESCENCE; GENETIC PROGRAMMING; MEMBRANES; MICROFILTRATION; MODEL CHECKING; NANOPARTICLES; NEURAL NETWORKS; SILICA; TESTING;

MEMBRANE FOULING;

ARTIFICIAL NEURAL NETWORK; ESTIMATION METHOD; FLUORESCENCE; IMAGE ANALYSIS; MEMBRANE; NUMERICAL MODEL;

EID: 80054872297     PISSN: 00119164     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.desal.2011.07.045     Document Type: Article

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