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Updated: Jul 25, 2025

Flapping Soft Fin Deformation Modeling using Planar Laser-Induced Fluorescence Imaging
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基于深度学习的减少顺序模型,用于翻动片的发电能力

Ahmad Saeed1, Hamayun Farooq1,2, Imran Akhtar1

  • 1Department of Mechanical Engineering, NUST College of Electrical & Mechanical Engineering, National University of Sciences & Technology, Islamabad 46000, Pakistan.

Biomimetics (Basel, Switzerland)
|June 27, 2023
PubMed
概括

这项研究介绍了一种新的减少顺序模型 (ROM),它结合了正确的直角分解 (POD) 和深度神经网络,用于预测从的气形中产生的电力. 新模型准确预测长期时间系数,改进了流体动力学应用的传统ROM.

关键词:
动的片在起的时候.长期短期神经网络的神经网络发电是发电的过程.正确的直角分解.减少顺序建模 减少顺序建模

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