Initial studies of predicting flow fields with an ANN hybrid-Reference-Cited by-同舟云学术

Initial studies of predicting flow fields with an ANN hybrid

Published:2001-12 Issue:12 Volume:32 Page:895-901
ISSN:0965-9978
Container-title:Advances in Engineering Software
language:en
Short-container-title:Advances in Engineering Software

Author:

Benning R.M.,Becker T.M.,Delgado A.

Publisher

Elsevier BV

Subject

General Engineering,Software

Reference25 articles.

1. The effect of Reynolds number and fluid temperature in whey protein fouling;Belmar-Beiny;J Food Engng,1993

2. Rinsing behavior of deposited layers formed on membranes in ultrafiltration;Nakamichi;J Food Sci,1985

3. Mathematical modeling of biofilm structure with a hybrid differential-discrete cellular automaton approach;Picioreanu;Biotechnol Bioengng,1998

4. Sawtschenko T. Numerische und experimentelle Untersuchungen zum Einfluß einer ungleichmäßigen Geschwindigkeitsverteilung auf Wärmeübergang, Dissipation und Fouling in den Rohrbündeln von Wärmetauschern. Diss. Fachbereich Maschinenbau und Verfahrenstechnik. Kaiserslautern: Universität, 1997.

5. Algorithmic trends in computational fluid dynamics;Hussaini,1993

Cited by 19 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. Addressing performance improvement of a neural network model for Reynolds-averaged Navier–Stokes solutions with high wake formation;Engineering Computations;2024-07-30

2. Artificial neural network modelling for predicting classical air pressure profile curves in building drainage systems;Building Services Engineering Research and Technology;2023-06-02

3. TWO-DIMENSIONAL FLOW;Open-Channel Flow;2022

4. Artificial Neural Networks: Applications in Food Processing;Reference Module in Food Science;2016

5. Discharge prediction of circular and rectangular side orifices using artificial neural networks;KSCE Journal of Civil Engineering;2015-06-12