A data-driven multi-flaw detection strategy based on deep learning and boundary element method

J Sun, Y Liu, Z Yao, X Zheng - Computational Mechanics, 2023 - Springer
In this article, we propose a data-driven multi-flaw detection strategy based on deep learning
and the boundary element method (BEM). In the training phase, BEM is implemented to …
被引用次数：14 相关文章

A data-driven multi-flaw detection strategy based on deep learning and boundary element method.

J Sun, Y Liu, Z Yao, X Zheng - Computational Mechanics, 2023 - search.ebscohost.com
In this article, we propose a data-driven multi-flaw detection strategy based on deep learning
and the boundary element method (BEM). In the training phase, BEM is implemented to …

A data-driven multi-flaw detection strategy based on deep learning and boundary element method

J Sun, Y Liu, Z Yao, X Zheng - Computational Mechanics, 2023 - ui.adsabs.harvard.edu
In this article, we propose a data-driven multi-flaw detection strategy based on deep learning
and the boundary element method (BEM). In the training phase, BEM is implemented to …

A data-driven multi-flaw detection strategy based on deep learning and boundary element method

J Sun, Y Liu, Z Yao, X Zheng - Computational Mechanics, 2023 - dl.acm.org
In this article, we propose a data-driven multi-flaw detection strategy based on deep learning
and the boundary element method (BEM). In the training phase, BEM is implemented to …

A data-driven multi-flaw detection strategy based on deep learning and boundary element method

J Sun, Y Liu, Z Yao, X Zheng - Computational Mechanics, 2023 - search.proquest.com
In this article, we propose a data-driven multi-flaw detection strategy based on deep learning
and the boundary element method (BEM). In the training phase, BEM is implemented to …