Ability to forecast unsteady aerodynamic forces of flapping airfoils by artificial neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-008-0186-2.pdf
Reference27 articles.
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3. Deng X, Schenato L, Wu WC, Sastry S (2006) Flapping flight for biomimetic robotic insects: part I-system modelling. IEEE Trans Rob 22:776–788
4. Sane SP, Dickinson MH (2002) The aerodynamic effects of wing rotation and a revised quasi-steady model of flapping flight. J Exp Biol 205:1087–1096
5. Kurtulus DF, Farcy A, Alemdaroglu N (2005) Unsteady aerodynamics of flapping airfoil in hovering flight at low reynolds numbers. AIAA-2005-1356, Reno, Nevada
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