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

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

A surrogate modelling strategy for predictions of interval settlement fields in real time during machine driven construction of tunnels, accounting for uncertain geotechnical parameters in terms of intervals, is presented in the paper. Artificial Neural Network and Proper Orthogonal Decomposition ap...

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Bibliographic Details
Main Authors:	Freitag, S., Cao, B.T., Ninić, J., Meschke, G.
Format:	Article
Published:	Elsevier 2017
Online Access:	https://eprints.nottingham.ac.uk/42029/

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