Mechanical Response Prediction of Fiber-Reinforced Composites by Using Machine Learning Models: A Review
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-33610-2_18
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4. Artero-Guerrero, J. A., Pernas-Sánchez, J., Martín-Montal, J., Varas, D., & López-Puente, J. (2018). The influence of laminate stacking sequence on ballistic limit using a combined experimental/FEM/artificial neural networks (ANN) methodology. Composite Structures, 183, 299–308. https://doi.org/10.1016/j.compstruct.2017.03.068
5. Ashenden, S. K., Bartosik, A., Agapow, P.-M., & Semenova, E. (2021). Chapter 2 – Introduction to artificial intelligence and machine learning. In S. K. Ashenden (Ed.), The era of artificial intelligence, machine learning, and data science in the pharmaceutical industry (pp. 15–26). Academic Press. https://doi.org/10.1016/B978-0-12-820045-2.00003-9
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