AI Data Analysis and SOM for the Monitoring and Improvement of Quality in Rolled Steel Bars

Author:

Vannucci Marco,Colla Valentina,Giacomini Alberto

Publisher

Springer Nature Switzerland

Reference13 articles.

1. Alhoniemi, E., Hollmén, J., Simula, O., Vesanto, J.: Process monitoring and modeling using the self-organizing map. Integr. Comput.-Aided Eng. 6(1), 3–14 (1999)

2. Brandenburger, J., Colla, V., Nastasi, G., Ferro, F., Schirm, C., Melcher, J.: Big data solution for quality monitoring and improvement on flat steel production. IFAC-PapersOnLine 49(20), 55–60 (2016)

3. Cateni, S., Colla, V., Vannucci, M.: A fuzzy logic-based method for outliers detection. In: Proceedings of the 7th IASTED International Conference on Artificial Intelligence and Applications AIA 2007, pp. 605–610 (2007)

4. Cateni, S., Colla, V., Vannucci, M.: Variable selection through genetic algorithms for classification purposes. In: Proceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications AIA 2010, pp. 605–610 (2007)

5. Cateni, S., Colla, V., Vannucci, M.: A genetic algorithm-based approach for selecting input variables and setting relevant network parameters of a SOM-based classifier. Int. J. Simul. Syst. Sci. Technol. 12(2), 30–37 (2011)

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