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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

Osmak, Snježana ; Gosak, Darko ; Matijašić, Gordana ; Glasnović, Antun Spatiotemporal neural network: A useful tool for modelling deep bed filtration process // Proceeding of the 2nd Europen Congress of Chemical Engineering / Charpentier, Jean-Claude (ur.). Montpellier: Department of Chemical Engineerig CNRS, 1999. str. 1-8 (CD)-x

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

Povezanost rada

Kemijsko inženjerstvo