In this paper, the application of artificial neural networks in finite element methods in the field of solid mechanics is reviewed, including element stiffness matrix operation, node displacement operation based on the global stiffness matrix, and optimization of finite element calculation result correction. Several studies have shown that artificial neural networks have certain advantages in solving difficult computation problems and parameter corrections in finite element methods in solid mechanics; compared with traditional methods, the method incorporating artificial neural networks is efficient and easy to compute with powerful parallel computing capabilities, and has excellent prospects.

Yifu Lin. A review of the application of neural networks in finite element methods in the field of solid mechanics. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 14: 22-26. https://doi.org/10.25236/AJCIS.2022.051403.

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