Missile aerodynamic design using reinforcement learning and transfer learning-Reference-Cited by-同舟云学术

Missile aerodynamic design using reinforcement learning and transfer learning

Published:2018-09-17 Issue:11 Volume:61 Page:
ISSN:1674-733X
Container-title:Science China Information Sciences
language:en
Short-container-title:Sci. China Inf. Sci.

Author:

Yan Xinghui,Zhu Jihong,Kuang Minchi,Wang Xiangyang

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s11432-018-9463-x.pdf

Reference8 articles.

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2. Ni A, Zhang Y F, Chen H X. An improvement to NSGA-II algorithm and its application in optimization design of multi-element airfoil. Acta Aerodynamica Sin, 2014, 32: 252–257

3. Giacché D, Xu L, Coupland J. Optimization of bypass outlet guide vane for low interaction noise. AIAA J, 2014, 52: 1145–1158

4. Kutz J N. Deep learning in fluid dynamics. J Fluid Mech, 2017, 814: 1–4

5. Zhang W D, Wang Y B, Liu Y. Aerodynamic study of theater ballistic missile target. Aerosp Sci Tech, 2013, 24: 221–225

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