Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient

The adaptability of the convolutional neural network (CNN) technique for aerodynamic meta-modeling tasks is probed in this work. The primary objective is to develop suitable CNN architecture for variable flow conditions and object geometry, in addition to identifying a sufficient data preparation pr...

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Veröffentlicht in:	arXiv.org 2018-01
Hauptverfasser:	Zhang, Yao, Woong-Je Sung, Mavris, Dimitri
Format:	Artikel
Sprache:	eng
Schlagworte:	Aerodynamic coefficients Angle of attack Artificial neural networks Geometric accuracy Mathematical models Model accuracy Modelling Multilayers Neural networks
Online-Zugang:	Volltext
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