Matches in SemOpenAlex for { <https://semopenalex.org/work/W3154564804> ?p ?o ?g. }
- W3154564804 abstract "Because of the fast advance rate and the improved personnel safety, tunnel boring machines (TBMs) have been widely used in a variety of tunnel construction projects. The dynamic modeling of TBM load parameters (including torque, advance rate and thrust) plays an essential part in the design, safe operation and fault prognostics of this complex engineering system. In this paper, based on in-situ TBM operational data, we use the machine-learning (ML) methods to build the real-time forecast models for TBM load parameters, which can instantaneously provide the future values of the TBM load parameters as long as the current data are collected. To decrease the model complexity and improve the generalization, we also apply the least absolute shrinkage and selection (Lasso) method to extract the essential features of the forecast task. The experimental results show that the forecast models based on deep-learning methods, {it e.g.}, recurrent neural network and its variants, outperform the ones based on the shallow-learning methods, {it e.g.}, support vector regression and random forest. Moreover, the Lasso-based feature extraction significantly improves the performance of the resultant models." @default.
- W3154564804 created "2021-04-26" @default.
- W3154564804 creator A5049519013 @default.
- W3154564804 creator A5050521424 @default.
- W3154564804 creator A5051059110 @default.
- W3154564804 creator A5071611991 @default.
- W3154564804 creator A5089966579 @default.
- W3154564804 date "2021-04-12" @default.
- W3154564804 modified "2023-09-24" @default.
- W3154564804 title "Real-time Forecast Models for TBM Load Parameters Based on Machine Learning Methods" @default.
- W3154564804 cites W1498436455 @default.
- W3154564804 cites W1501338032 @default.
- W3154564804 cites W1663973292 @default.
- W3154564804 cites W1815076433 @default.
- W3154564804 cites W1982633996 @default.
- W3154564804 cites W1986997410 @default.
- W3154564804 cites W1987091549 @default.
- W3154564804 cites W2002016471 @default.
- W3154564804 cites W2004060458 @default.
- W3154564804 cites W2006414261 @default.
- W3154564804 cites W2012374927 @default.
- W3154564804 cites W2015916019 @default.
- W3154564804 cites W2029926752 @default.
- W3154564804 cites W2043009668 @default.
- W3154564804 cites W2054273664 @default.
- W3154564804 cites W2056420544 @default.
- W3154564804 cites W2064675550 @default.
- W3154564804 cites W2074439703 @default.
- W3154564804 cites W2090149334 @default.
- W3154564804 cites W2098421567 @default.
- W3154564804 cites W2103496339 @default.
- W3154564804 cites W2105115422 @default.
- W3154564804 cites W2121935962 @default.
- W3154564804 cites W2128549488 @default.
- W3154564804 cites W2135046866 @default.
- W3154564804 cites W2152651571 @default.
- W3154564804 cites W2157331557 @default.
- W3154564804 cites W2158099522 @default.
- W3154564804 cites W2319857230 @default.
- W3154564804 cites W2472534392 @default.
- W3154564804 cites W2508821295 @default.
- W3154564804 cites W2568952562 @default.
- W3154564804 cites W2888178833 @default.
- W3154564804 cites W2902508499 @default.
- W3154564804 cites W2918525780 @default.
- W3154564804 cites W2946742630 @default.
- W3154564804 cites W3101592282 @default.
- W3154564804 cites W3145152434 @default.
- W3154564804 doi "https://doi.org/10.48550/arxiv.2104.06353" @default.
- W3154564804 hasPublicationYear "2021" @default.
- W3154564804 type Work @default.
- W3154564804 sameAs 3154564804 @default.
- W3154564804 citedByCount "0" @default.
- W3154564804 crossrefType "posted-content" @default.
- W3154564804 hasAuthorship W3154564804A5049519013 @default.
- W3154564804 hasAuthorship W3154564804A5050521424 @default.
- W3154564804 hasAuthorship W3154564804A5051059110 @default.
- W3154564804 hasAuthorship W3154564804A5071611991 @default.
- W3154564804 hasAuthorship W3154564804A5089966579 @default.
- W3154564804 hasBestOaLocation W31545648041 @default.
- W3154564804 hasConcept C119857082 @default.
- W3154564804 hasConcept C12267149 @default.
- W3154564804 hasConcept C124101348 @default.
- W3154564804 hasConcept C129364497 @default.
- W3154564804 hasConcept C134306372 @default.
- W3154564804 hasConcept C136764020 @default.
- W3154564804 hasConcept C148483581 @default.
- W3154564804 hasConcept C154945302 @default.
- W3154564804 hasConcept C169258074 @default.
- W3154564804 hasConcept C177148314 @default.
- W3154564804 hasConcept C33923547 @default.
- W3154564804 hasConcept C37616216 @default.
- W3154564804 hasConcept C41008148 @default.
- W3154564804 hasConcept C45804977 @default.
- W3154564804 hasConcept C50644808 @default.
- W3154564804 hasConceptScore W3154564804C119857082 @default.
- W3154564804 hasConceptScore W3154564804C12267149 @default.
- W3154564804 hasConceptScore W3154564804C124101348 @default.
- W3154564804 hasConceptScore W3154564804C129364497 @default.
- W3154564804 hasConceptScore W3154564804C134306372 @default.
- W3154564804 hasConceptScore W3154564804C136764020 @default.
- W3154564804 hasConceptScore W3154564804C148483581 @default.
- W3154564804 hasConceptScore W3154564804C154945302 @default.
- W3154564804 hasConceptScore W3154564804C169258074 @default.
- W3154564804 hasConceptScore W3154564804C177148314 @default.
- W3154564804 hasConceptScore W3154564804C33923547 @default.
- W3154564804 hasConceptScore W3154564804C37616216 @default.
- W3154564804 hasConceptScore W3154564804C41008148 @default.
- W3154564804 hasConceptScore W3154564804C45804977 @default.
- W3154564804 hasConceptScore W3154564804C50644808 @default.
- W3154564804 hasLocation W31545648041 @default.
- W3154564804 hasOpenAccess W3154564804 @default.
- W3154564804 hasPrimaryLocation W31545648041 @default.
- W3154564804 hasRelatedWork W2985924212 @default.
- W3154564804 hasRelatedWork W2991486385 @default.
- W3154564804 hasRelatedWork W3034132578 @default.
- W3154564804 hasRelatedWork W3157268302 @default.
- W3154564804 hasRelatedWork W3165907317 @default.
- W3154564804 hasRelatedWork W3174196512 @default.
- W3154564804 hasRelatedWork W3195168932 @default.