Progress and opportunities for machine learning in materials and processes of additive manufacturing

In recent years, there has been widespread adoption of machine learning (ML) technologies to unravel intricate relationships among diverse parameters in various additive manufacturing (AM) techniques. These ML models excel at recognizing complex patterns from extensive, well-curated datasets, the...

全面介紹

Saved in:
書目詳細資料
Main Authors: Ng, Wei Long, Goh, Guo Liang, Goh, Guo Dong, Ten, Jason Jyi Sheuan, Yeong, Wai Yee
其他作者: School of Mechanical and Aerospace Engineering
格式: Article
語言:English
出版: 2024
主題:
在線閱讀:https://hdl.handle.net/10356/175825
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
機構: Nanyang Technological University
語言: English