Estimation of hypersonic vehicle weight using Physics-Informed neural network supported by knowledge based engineering
作者：
Highlights：
• A weight estimation method based on the physics-informed neural network for aircraft conceptual design.
• Speed up generation of training sample by KBE technology.
• Guide the training of neural network by prior knowledge in aircraft conceptual design.
• Estimate the weights of hypersonic vehicles with different wing configurations by the PINN.
摘要
•A weight estimation method based on the physics-informed neural network for aircraft conceptual design.•Speed up generation of training sample by KBE technology.•Guide the training of neural network by prior knowledge in aircraft conceptual design.•Estimate the weights of hypersonic vehicles with different wing configurations by the PINN.
论文关键词：Conceptual design,Hypersonic vehicle,Weight estimation,KBE,PINN
论文评审过程：Received 30 October 2021, Revised 22 December 2021, Accepted 22 January 2022, Available online 31 January 2022, Version of Record 15 February 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.116609
