Artificial Neural Networking (ANN) Model for Drag Coefficient Optimization for Various Obstacles

Artificial Neural Networking (ANN) Model for Drag Coefficient Optimization for Various Obstacles

For various obstacles in the path of a flowing liquid stream, an artificial neural networking (ANN) model is constructed to study the hydrodynamic force depending on the object. The multilayer perceptron (MLP), back propagation (BP), and feed-forward (FF) network models were employed to create the A...

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Bibliographic Details
Main Authors: Khalil Ur Rehman, Andaç Batur Çolak, Wasfi Shatanawi
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Mathematics
Subjects:
liquid stream
regular obstacles
feed forward
back propagation
hydrodynamic force
artificial neural networking
Online Access:https://www.mdpi.com/2227-7390/10/14/2450

Internet

https://www.mdpi.com/2227-7390/10/14/2450

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