AI and ML Techniques for Generation and Assessment of Products Properties Data-Reference-Cited by-同舟云学术

AI and ML Techniques for Generation and Assessment of Products Properties Data

Published:2021 Issue: Volume: Page:67-77
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Vannucci Marco^ORCID,Colla Valentina^ORCID,Ritacco Antonio,Vannocci Marco,Vignali Antonella^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-69367-1_6

Reference22 articles.

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3. Jančíková, Z., Roubíček, V., Juchelková, D.: Application of artificial intelligence methods for prediction of steel mechanical properties. Metalurgija 47(4), 339–342 (2008)

4. Bahrami, A., Anijdan, S.M., Ekrami, A.: Prediction of mechanical properties of DP steels using neural network model. J. Alloy. Compd. 392(1–2), 177–182 (2005)

5. Cavaleri, L., Asteris, P.G., Psyllaki, P.P., Douvika, M.G., Skentou, A.D., Vaxevanidis, N.M.: Prediction of surface treatment effects on the tribological performance of tool steels using artificial neural networks. Appl. Sci. 9(14), 2788 (2019)

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