Effects of data smoothing and recurrent neural network (RNN) algorithms for real-time forecasting of tunnel boring machine (TBM) performance
Author:
Publisher
Elsevier BV
Subject
Geotechnical Engineering and Engineering Geology
Reference65 articles.
1. Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition;Armaghani;Tunn. Undergr. Space Technol.,2017
2. Application of several optimization techniques for estimating TBM advance rate in granitic rocks;Armaghani;J. Rock Mech. Geotech. Eng.,2019
3. Hybrid ensemble soft computing approach for predicting penetration rate of tunnel boring machine in a rock environment;Bardhan;J. Rock Mech. Geotech. Eng.,2021
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5. Modelling TBM performance with artificial neural networks;Benardos;Tunn. Undergr. Space Technol.,2004
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