An evolutionary adaptive neuro-fuzzy inference system for estimating field penetration index of tunnel boring machine in rock mass

Field penetration index (FPI) is one of the representative key parameters to examine the tunnel boring machine (TBM) performance. Lack of accurate FPI prediction can be responsible for numerous disastrous incidents associated with rock mechanics and engineering. This study aims to predict TBM perfor...

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Auteurs principaux:	Maryam Parsajoo, Ahmed Salih Mohammed, Saffet Yagiz, Danial Jahed Armaghani, Manoj Khandelwal
Format:	Artigo
Langue:	Inglês
Publié:	Elsevier 2021-12-01
Collection:	Journal of Rock Mechanics and Geotechnical Engineering
Sujets:	Tunnel boring machine (TBM) Field penetration index (FPI) Neuro-fuzzy technique Evolutionary computation Artificial bee colony (ABC)
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S1674775521001220
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