MHA-Net: Multi-source heterogeneous aerodynamic data fusion neural network embedding reduced-dimension features-Reference-Cited by-同舟云学术

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MHA-Net: Multi-source heterogeneous aerodynamic data fusion neural network embedding reduced-dimension features

Published:2024-02 Issue: Volume:145 Page:108908
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Ning Chenjia^ORCID,Zhang Weiwei^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference50 articles.

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2. Machine learning for fluid mechanics;Brunton;Annu. Rev. Fluid Mech.,2020

3. Improving aircraft performance using machine learning: a review;Le Clainche;Aerosp. Sci. Technol.,2023

4. Data-driven modeling for unsteady aerodynamics and aeroelasticity;Kou;Prog. Aerosp. Sci.,2021

5. Engineering Design via Surrogate Modelling: a Practical Guide;Forrester,2008

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