A contribution to the modelling of fouling resistance in heat exchanger-condenser by direct and inverse artificial neural network
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 plant was used to build the ANN model. All models...
| Permalink: | http://skupnikatalog.nsk.hr/Record/nsk.NSK01001144932 |
|---|---|
| Matična publikacija: |
Kemija u industriji (Online) 70 (2021), 11/12 ; str. 639-650 |
| Glavni autori: | Benyekhlef, Ahmed (Author), Mohammedi, Brahim, Hanini, Salah, Boumahdi, Mouloud, Rezrazi, Ahmed, Laidi, Maamar |
| Vrsta građe: | e-članak |
| Jezik: | eng |
| Predmet: | |
| Online pristup: |
https://doi.org/10.15255/KUI.2020.076 Kemija u industriji (Online) Hrčak |
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https://doi.org/10.15255/KUI.2020.076Kemija u industriji (Online)
Hrčak