Influence of optimization techniques on machine learning algorithms: compressive behaviour of additively manufactured poly lactic acid (PLA) for structural applications-Reference-Cited by-同舟云学术

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Influence of optimization techniques on machine learning algorithms: compressive behaviour of additively manufactured poly lactic acid (PLA) for structural applications

Published:2024-09-04 Issue: Volume: Page:
ISSN:2363-9512
Container-title:Progress in Additive Manufacturing
language:en
Short-container-title:Prog Addit Manuf

Author:

Veeman Dhinakaran^ORCID,Vellaisamy Murugan,Ponnusamy Pradeep Castro,Subramaniyan Mohan Kumar,Vijayakumar M. D.,Guo Lei

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40964-024-00770-2.pdf

Reference40 articles.

1. Wuest T, Weimer D, Irgens C, Thoben KD (2016) Machine learning in manufacturing: advantages, challenges, and applications. Prod Manuf Res 4(1):23–45. https://doi.org/10.1080/21693277.2016.1192517

2. AMFG AI (2019) Industry 4.0: 7 Real-World Examples of Digital Manufacturing in Action

3. Dingli DJ (2012) The manufacturing industry–Coping with challenges. No. 2012/05

4. Gordon J, Sohal AS (2001) Assessing manufacturing plant competitiveness. Int J Oper Prod Manag 21:233–253

5. Thomas AJ, Byard P, Evans R (2012) Identifying the UK’s manufacturing challenges as a benchmark for future growth. J Manuf Technol Manag 23:142–156

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