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Optimization Method of Underwater Flapping Foil Propulsion Performance Based on Gaussian Process Regression and Deep Reinforcement Learning

In order to overcome the complexity and variability of underwater working environments, as well as the difficulty of controlling the flapping motion due to the significant nonlinear characteristics and numerous variables involved, a direct exploration approach is proposed to search for the optimal f...

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Huvudupphov: YANG Yinghe, WEI Handi, FAN Dixia, LI Ang
Materialtyp: Artigo
Språk:Chinês
Utgiven: Editorial Office of Journal of Shanghai Jiao Tong University 2025-01-01
Serie:Shanghai Jiaotong Daxue xuebao
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Länkar:https://xuebao.sjtu.edu.cn/article/2025/1006-2467/1006-2467-59-1-70.shtml
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