Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ahmed Benyekhlef"'
Autor:
Ahmed Benyekhlef, Brahim Mohammedi, Salah Hanini, Mouloud Boumahdi, Ahmed Rezrazi, Maamar Laidi
Publikováno v:
Kemija u Industriji, Vol 70, Iss 11-12, Pp 639-650 (2021)
The aim of this study was to predict the fouling resistance (FR) using the artificial neural networks (ANN) approach. An experimental database collected from the literature regarding the fouling of condenser tubes cooling seawater of a nuclear power
Externí odkaz:
https://doaj.org/article/8121aba11fc54025bf176661f36ca459
Publikováno v:
Water Science and Technology, Vol 84, Iss 3, Pp 538-551 (2021)
In this work, an artificial neural network (ANN) model was developed with the aim of predicting fouling resistance for heat exchanger, the network was designed and trained by means of 375 experimental data points that were selected from the literatur
Externí odkaz:
https://doaj.org/article/b9e8fccc2c064480b41687bd2dcf7b51
Autor:
Salah Hanini, Maamar Laidi, Mouloud Boumahdi, Brahim Mohammedi, Ahmed Rezrazi, Ahmed Benyekhlef
Publikováno v:
Kemija u Industriji, Vol 70, Iss 11-12, Pp 639-650 (2021)
Kemija u industriji : Časopis kemičara i kemijskih inženjera Hrvatske
Volume 70
Issue 11-12
Kemija u industriji : Časopis kemičara i kemijskih inženjera Hrvatske
Volume 70
Issue 11-12
The aim of this study was to predict the fouling resistance (FR) using the artificial neural networks (ANN) approach. An experimental database collected from the literature regarding the fouling of condenser tubes cooling seawater of a nuclear power
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5210a645e21442848cead57908d4742
http://silverstripe.fkit.hr/kui/assets/Uploads/2-639-650-KUI-11-12-2021.pdf
http://silverstripe.fkit.hr/kui/assets/Uploads/2-639-650-KUI-11-12-2021.pdf