Author:
Kim YeonSu,Kim Yoon A.,Park Seo Hwee,Kim YunHo
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Reference37 articles.
1. A. D. Dongare, R. R. Kharde and A. D. Kachare, Introduction to artificial neural network (ANN) methods, Int. J. Eng. Innov. Technol., 2 (1) (2012) 189–194.
2. M. Mishra and M. Srivastava, A view of artificial neural network, IEEE Int. Conf. Adv. Eng. Technol. Res. (ICAETR — 2014), IEEE (2014).
3. D. Fernández-Fdz, J. López-Puente and R. Zaera, Prediction of the behaviour of CFRPs against high-velocity impact of solids employing an artificial neural network methodology, Compos. Part A Appl. Sci. Manuf., 39 (6) (2008) 989–996.
4. S. Ryan, S. Thaler and S. Kandanaarachchi, Machine learning methods for predicting the outcome of hypervelocity impact events, Expert Syst. Appl., 45 (2016) 23–39.
5. N. Kiliç, B. Ekici and S. Hartomacıoğlu, Determination of penetration depth at high velocity impact using finite element method and artificial neural network tools, Def. Technol., 11 (2) (2015) 110–122.
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