Agent-Based Simulation Model for the Real-Time Evaluation of Tunnel Boring Machines Using Deep Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-44021-2_20
Reference17 articles.
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2. Koopialipoor, M., Tootoonchi, H., Armaghani, D.J., Mohamad, E.T., Hedayat, A.: Application of deep neural networks in predicting the penetration rate of tunnel boring machines. Bull. Eng. Geol. Environ. 78, 6347–6360 (2019)
3. Sheil, B.B., Suryasentana, K., Mooney, M.A., Zhu, H.: Machine learning to inform tunnelling operations: recent advances and future trends. In: Proceedings of the Institution of Civil Engineers – Smart Infrastructure and Construction, pp. 74–95 (2020)
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