Dead-end filtration of yeast suspensions: Correlating specific resistance and flux data using artificial neural networks

Journal of Membrane Science

Volumn 281, Issue 1-2, 2006, Pages 325-333

  Ní Mhurchú, Jenny ^a   Foley, Greg ^a  

^a DUBLIN CITY UNIVERSITY   (Ireland)

Author keywords

Artificial neural network; Bakers yeast; Dead end filtration; Specific cake resistance

Indexed keywords

CONCENTRATION (PROCESS); FILTRATION; IONIC STRENGTH; NEURAL NETWORKS; PH EFFECTS; PRESSURE DISTRIBUTION; YEAST;

BAKERS YEAST; DEAD-END FILTRATION; SIGMOIDAL ACTIVATION FUNCTION; SPECIFIC CAKE RESISTANCE;

SUSPENSIONS (FLUIDS);

CONCENTRATION (PROCESS); FILTRATION; IONIC STRENGTH; NEURAL NETWORKS; PH EFFECTS; PRESSURE DISTRIBUTION; SUSPENSIONS (FLUIDS); YEAST;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; CORRELATION ANALYSIS; CROSSFLOW FILTRATION; FILTRATION; IONIC STRENGTH; MEMBRANE FILTER; NERVE CELL; NONHUMAN; PARAMETER; PREDICTION; PRIORITY JOURNAL; SACCHAROMYCES CEREVISIAE; VALIDATION PROCESS; VELOCITY; YEAST;

EID: 33746770437     PISSN: 03767388     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.memsci.2006.03.043     Document Type: Article

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