A Contribution to the Modelling of Fouling Resistance in Heat Exchanger-Condenser by Direct and Inverse Artificial Neural Network-Reference-Cited by-同舟云学术

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A Contribution to the Modelling of Fouling Resistance in Heat Exchanger-Condenser by Direct and Inverse Artificial Neural Network

Published:2021-11-03 Issue:11-12 Volume: Page:
ISSN:1334-9090
Container-title:Kemija u industriji
language:en
Short-container-title:

Author:

Benyekhlef Ahmed¹,Mohammedi Brahim²,Hanini Salah³,Boumahdi Mouloud³,Rezrazi Ahmed⁴,Laidi Maamar⁵

Affiliation:

1. University of Medea

2. Nuclear Research Center of Birine, Djelfa,17000, Algeria

3. Faculty of Technology, University of Médéa, LBMPT Laboratory

4. Biomaterials and Transport Phenomena Laboratory, University of Yahia Fares Medea

5. Laboratory of Biomaterials and Transport Phenomena (LBMPT), University of Médéa

Publisher

Croatian Society of Chemical Engineers/HDKI

Subject

General Chemical Engineering,General Chemistry

Link

http://silverstripe.fkit.hr/kui/assets/Uploads/2-639-650-KUI-11-12-2021.pdf

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Drying Process of Cement Mortar Composites Reinforced with Cellulosic Fibres: Experiment and Mathematical Modelling;Kemija u industriji;2022-11-17

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