Final Remarks
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-46866-7_6
Reference5 articles.
1. Villarrubia, G., De Paz, J. F., Chamoso, P., & la Prieta, F. D. (2018). Artificial neural networks used in optimization problems. Neurocomputing, 272, 10–16. https://doi.org/10.1016/j.neucom.2017.04.075
2. Paulachan, P., Siegert, J., Wiesler, I., & Brunner, R. (2023). An end-to-end convolutional neural network for automated failure localisation and characterisation of 3D interconnects. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-35048-0.
3. Chang, Z., Wan, Z., Xu, Y., Schlangen, E., & Šavija, B. (2022). Convolutional neural network for predicting crack pattern and stress-crack width curve of air-void structure in 3D printed concrete. Engineering Fracture Mechanics, 271, 108624. https://doi.org/10.1016/j.engfracmech.2022.108624
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