Finite Element Method-Based Artificial Neural Network-Reference-Cited by-同舟云学术

Finite Element Method-Based Artificial Neural Network

Published:2022 Issue: Volume: Page:755-768
ISSN:2367-3370
Container-title:ICT Analysis and Applications
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Author:

Pothina Harshini,Nagaraja K. V.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-5655-2_73

Reference33 articles.

1. R.D. Cook, D.S. Malkus, M.E. Plesha, R.J. Witt, Concepts and applications of finite element analysis, 4th edn, University of Wisconsin, Madison

2. J. Berg, K. Nystrom, A unified deep artificial neural network approach to partial differential equations in complex geometries, Department of Mathematics, Uppsala University S-751 06 Uppsala, Sweden

3. https://www.researchgate.net/profile/Nasir_Tamin/publication/46309172/figure/fig1/AS:307390479126531@1450299009461/Figure-1-A-coarse-mesh-two-dimensional-model-of-gear-tooth-All-nodes-and-elements-lie.png

4. O. de Weck, I.Y. Kim, Finite element method (MIT, 2004)

5. G.H. Paulino, D.B. Willett, Finite element methods. Department of Civil and Environmental Engineering University of Illinois at Urbana-Champaign

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