A hybrid RNN-GPOD surrogate model for real-time settlement predictions in mechanised tunnelling
- DOI
- 10.1186/s40323-016-0057-9
- Published
- 2016-03-05
- Container
- Advanced Modeling and Simulation in Engineering Sciences
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s40323-016-0057-9,
title = {A hybrid RNN-GPOD surrogate model for real-time settlement predictions in mechanised tunnelling},
author = {Ba-Trung Cao and Steffen Freitag and Günther Meschke},
year = {2016},
journal = {Advanced Modeling and Simulation in Engineering Sciences},
doi = {10.1186/s40323-016-0057-9},
url = {https://doi.org/10.1186/s40323-016-0057-9}
}RIS
TY - JOUR TI - A hybrid RNN-GPOD surrogate model for real-time settlement predictions in mechanised tunnelling AU - Ba-Trung Cao AU - Steffen Freitag AU - Günther Meschke PY - 2016 JO - Advanced Modeling and Simulation in Engineering Sciences DO - 10.1186/s40323-016-0057-9 UR - https://doi.org/10.1186/s40323-016-0057-9 ER -
APA
Cao, B., Freitag, S., & Meschke, G. (2016). A hybrid RNN-GPOD surrogate model for real-time settlement predictions in mechanised tunnelling. Advanced Modeling and Simulation in Engineering Sciences. https://doi.org/10.1186/s40323-016-0057-9
Source records
- crossref · retrieved 2026-09-26T10:35:52.215Z