Spatiotemporal neural network: A useful tool for modelling deep bed filtration process (CROSBI ID 475520)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Osmak, Snježana ; Gosak, Darko ; Matijašić, Gordana ; Glasnović, Antun
engleski
Spatiotemporal neural network: A useful tool for modelling deep bed filtration process
Since the analytical models have failed in giving acceptable results for entire deep bed filtration process, the statistical approach, using neural network modelling, was introduced. In this case the hierarchically connected set of dynamic recurrent networks is applied. Developed method can be applied for simulation of the process as long as the input concentration and distribution are in range of experimental values.
deep bed filtration; filter efficiency; neural network modelling; spatiotemporal neural network
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Podaci o prilogu
1-8 (CD)-x.
1999.
objavljeno
Podaci o matičnoj publikaciji
Proceeding of the 2nd Europen Congress of Chemical Engineering
Charpentier, Jean-Claude
Montpellier: Department of Chemical Engineerig CNRS
Podaci o skupu
2nd Europen Congress of Chemical Engineering
poster
05.10.1999-07.10.1999
Montpellier, Francuska