Recurrent neural networks and proper orthogonal decomposition with interval data for real-time predictions of mechanised tunnelling processes

Steffen Freitag; Ba Trung Cao; Jelena Ninic; Günther  Meschke

doi:10.1016/j.compstruc.2017.03.020

Recurrent neural networks and proper orthogonal decomposition with interval data for real-time predictions of mechanised tunnelling processes

Steffen Freitag, Ba Trung Cao, Jelena Ninic, Günther Meschke

Civil Engineering

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Computers & Structures
DOIs	https://doi.org/10.1016/j.compstruc.2017.03.020
Publication status	Published - 2017

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10.1016/j.compstruc.2017.03.020

Cite this

@article{76079a1d31894001a33f8275978e8ca5,

title = "Recurrent neural networks and proper orthogonal decomposition with interval data for real-time predictions of mechanised tunnelling processes",

author = "Steffen Freitag and Cao, {Ba Trung} and Jelena Ninic and G{\"u}nther Meschke",

year = "2017",

doi = "10.1016/j.compstruc.2017.03.020",

language = "English",

journal = "Computers & Structures",

issn = "0045-7949",

publisher = "Elsevier",

}

TY - JOUR

T1 - Recurrent neural networks and proper orthogonal decomposition with interval data for real-time predictions of mechanised tunnelling processes

AU - Freitag, Steffen

AU - Cao, Ba Trung

AU - Ninic, Jelena

AU - Meschke, Günther

PY - 2017

Y1 - 2017

UR - http://www.sciencedirect.com/science/article/pii/S0045794917302195

U2 - 10.1016/j.compstruc.2017.03.020

DO - 10.1016/j.compstruc.2017.03.020

M3 - Article

SN - 0045-7949

JO - Computers & Structures

JF - Computers & Structures

ER -