Time-history performance optimization of flapping wing motion using a deep learning based prediction model

IF 5.3 1区工程技术 Q1 ENGINEERING, AEROSPACE

Chinese Journal of Aeronautics Pub Date : 2023-12-01 DOI:10.1016/j.cja.2023.12.008

Tianqi Wang, Liu Liu, Jun Li, Lifang Zeng

引用次数: 0

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利用基于深度学习的预测模型优化拍翼运动的时史性能

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Chinese Journal of Aeronautics 工程技术-工程：宇航

CiteScore

10.00

自引率

17.50%

发文量

3080

审稿时长

55 days

期刊介绍： Chinese Journal of Aeronautics (CJA) is an open access, peer-reviewed international journal covering all aspects of aerospace engineering. The Journal reports the scientific and technological achievements and frontiers in aeronautic engineering and astronautic engineering, in both theory and practice, such as theoretical research articles, experiment ones, research notes, comprehensive reviews, technological briefs and other reports on the latest developments and everything related to the fields of aeronautics and astronautics, as well as those ground equipment concerned.