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of 134
pro vyhledávání: '"Li, Enying"'
How to solve inverse problems is the challenge of many engineering and industrial applications. Recently, physics-informed neural networks (PINNs) have emerged as a powerful approach to solve inverse problems efficiently. However, it is difficult for
Externí odkaz:
http://arxiv.org/abs/2209.10195
Publikováno v:
In Information Sciences January 2024 653
Publikováno v:
In International Communications in Heat and Mass Transfer October 2023 147
Publikováno v:
In Advanced Engineering Informatics August 2023 57
In this study, an image-assisted Approximate Bayesian Computation (ABC) parameter inverse method is proposed to identify the design parameters. In the proposed method, the images are mapped to a low-dimensional latent space by Variational Auto-Encode
Externí odkaz:
http://arxiv.org/abs/1907.03560
Publikováno v:
In Composite Structures 1 July 2021 267
Autor:
Li, Enying
Publikováno v:
In Applied Soft Computing Journal December 2019 85
Publikováno v:
In Composite Structures 1 July 2019 219:221-241
Publikováno v:
In International Journal of Heat and Mass Transfer May 2019 134:185-197
Publikováno v:
Engineering Computations, 2019, Vol. 37, Issue 2, pp. 591-614.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-12-2018-0590