物理情報に基づく放射的基礎機能の深層ニューラルネットワークに基づく空気力学パラメータ識別方法

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Updated: Sep 10, 2025

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression
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Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression

Published on: December 10, 2014

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Jungu Chen1, Junhui Liu1, Jiayuan Shan1

  • 1Key Laboratory of Dynamics and Control of Flight Vehicle, Ministry of Education, School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China.

ISA transactions
|August 27, 2025
PubMed
まとめ

この研究は,物理情報に基づく深層ニューラルネットワークを使用して,エアロダイナミックパラメータの変化を推定するための新しい方法を導入しています. このアプローチは空力学的混乱を正確に特定し,航空機モデルの予測を改善します.

キーワード:
エロダイナミックパラメータの乱れディープラーニングパラメータの推定物理学的ニューラルネットワーク

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