Geological Literature Search (GEOLIS) (Geological Survey of Japan / AIST)

Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition

Authors=ARMAGHANI Danial Jahed, MOHAMAD Edy Tonnizam, NARAYANASAMY Mogana Sundaram, NARITA Nobuya, YAGIZ Saffet

Journal/Book_names=Tunnelling and Underground Space Technology (online)

volume=63

pages=29-43

Publish_year=2016

Publish_Country=NLD

Publisher=Elsevier B.V.

Language_of_Text=EN

Language_of_Abs=EN

ISSN=08867798

DOI=10.1016/j.tust.2016.12.009

ID=201700176

@id=https://gbank.gsj.jp/ld/resource/geolis/201700176