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Pregled bibliografske jedinice broj: 48011

Spatiotemporal neural network: A useful tool for modelling deep bed filtration process

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) (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Spatiotemporal neural network: A useful tool for modelling deep bed filtration process

Autori
Osmak, Snježana ; Gosak, Darko ; Matijašić, Gordana ; Glasnović, Antun

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceeding of the 2nd Europen Congress of Chemical Engineering / Charpentier, Jean-Claude - Montpellier : Department of Chemical Engineerig CNRS, 1999, 1-8 (CD)

Skup
2nd Europen Congress of Chemical Engineering

Mjesto i datum
Montpellier, Francuska, 05.10.1999. - 07.10.1999

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
deep bed filtration; filter efficiency; neural network modelling; spatiotemporal neural network

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo



POVEZANOST RADA

Projekti:
125001

Ustanove:
Fakultet kemijskog inženjerstva i tehnologije, Zagreb

Profili:

Avatar Url Snježana Osmak (autor)

Avatar Url Antun Glasnović (autor)

Avatar Url Darko Gosak (autor)

Avatar Url Gordana Matijašić (autor)

Citiraj ovu publikaciju:

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) (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Osmak, S., Gosak, D., Matijašić, G. & Glasnović, A. (1999) Spatiotemporal neural network: A useful tool for modelling deep bed filtration process. U: Charpentier, J. (ur.)Proceeding of the 2nd Europen Congress of Chemical Engineering.
@article{article, author = {Osmak, Snje\v{z}ana and Gosak, Darko and Matija\v{s}i\'{c}, Gordana and Glasnovi\'{c}, Antun}, editor = {Charpentier, J.}, year = {1999}, pages = {1-8 (CD)}, keywords = {deep bed filtration, filter efficiency, neural network modelling, spatiotemporal neural network}, title = {Spatiotemporal neural network: A useful tool for modelling deep bed filtration process}, keyword = {deep bed filtration, filter efficiency, neural network modelling, spatiotemporal neural network}, publisher = {Department of Chemical Engineerig CNRS}, publisherplace = {Montpellier, Francuska} }
@article{article, author = {Osmak, Snje\v{z}ana and Gosak, Darko and Matija\v{s}i\'{c}, Gordana and Glasnovi\'{c}, Antun}, editor = {Charpentier, J.}, year = {1999}, pages = {1-8 (CD)}, keywords = {deep bed filtration, filter efficiency, neural network modelling, spatiotemporal neural network}, title = {Spatiotemporal neural network: A useful tool for modelling deep bed filtration process}, keyword = {deep bed filtration, filter efficiency, neural network modelling, spatiotemporal neural network}, publisher = {Department of Chemical Engineerig CNRS}, publisherplace = {Montpellier, Francuska} }

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