A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process
Author:
Funder
State of Texas Appropriation
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-022-02004-0.pdf
Reference72 articles.
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3. Arlot, S., & Celisse, A. (2010). A survey of cross-validation procedures for model selection. Statistics Surveys, 4, 40–79. https://doi.org/10.1214/09-SS054
4. Awad Mariette, K. R. (2015). Support vector regression. In Efficient learning machines (pp. 67–80). https://doi.org/10.1007/978-1-4302-5990-9_.
5. Balbaa, M., Mekhiel, S., Elbestawi, M., & McIsaac, J. (2020). On selective laser melting of Inconel 718: Densification, surface roughness, and residual stresses. Materials and Design, 193, 108818. https://doi.org/10.1016/j.matdes.2020.108818
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