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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Principais autores:	Maryam Parsajoo, Ahmed Salih Mohammed, Saffet Yagiz, Danial Jahed Armaghani, Manoj Khandelwal
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2021-12-01
סדרה:	Journal of Rock Mechanics and Geotechnical Engineering
נושאים:	Tunnel boring machine (TBM) Field penetration index (FPI) Neuro-fuzzy technique Evolutionary computation Artificial bee colony (ABC)
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S1674775521001220
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