Improving the laser cutting process design by machine learning techniques

Author:

Tercan Hasan,Khawli Toufik Al,Eppelt Urs,Büscher Christian,Meisen Tobias,Jeschke Sabina

Funder

Deutsche Forschungsgemeinschaft

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference23 articles.

1. Brecher C (ed) (2012) Integrative production technology for high-wage countries. Springer, Berlin, Heidelberg

2. Box GEP, Hunter JS, Hunter WG (2005) Statistics for experimenters: Design, innovation, and discovery, 2. ed. Wiley series in probability and statistics. Wiley-Interscience, Hoboken

3. Otto A, Koch H, Leitz K et al (2011) Numerical simulations—a versatile approach for better understanding dynamics in laser material processing. Phys Procedia 12:11–20. doi: 10.1016/j.phpro.2011.03.003

4. Köksal G, Batmaz İ, Testik MC (2011) A review of data mining applications for quality improvement in manufacturing industry. Expert Syst Appl 38(10):13448–13467. doi: 10.1016/j.eswa.2011.04.063

5. Han J, Kamber M, Pei J (2012) Data mining: concepts and techniques, 3. ed. The Morgan Kaufmann series in data management systems. Elsevier/Morgan Kaufmann, Amsterdam

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