Prediction of laser cutting parameters for polymethylmethacrylate sheets using random vector functional link network integrated with equilibrium optimizer
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-020-01617-7.pdf
Reference48 articles.
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3. Bai, H. Z. (2004). Technology SMMJJoMP Experimental and theoretical analyses of cutting nonmetallic materials by low power CO2-laser. Journal of Materials Processing Technology, 146(2), 188–192.
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