Computational monitoring in real time: review of methods and applications-Reference-Cited by-同舟云学术

Computational monitoring in real time: review of methods and applications

Published:2018-06-19 Issue:3 Volume:4 Page:235-271
ISSN:2363-8419
Container-title:Geomechanics and Geophysics for Geo-Energy and Geo-Resources
language:en
Short-container-title:Geomech. Geophys. Geo-energ. Geo-resour.

Author:

Dyskin Arcady V.,Basarir Hakan,Doherty James,Elchalakani Mohamed,Joldes Grand R.,Karrech Ali,Lehane Barry,Miller Karol,Pasternak Elena,Shufrin Igor^ORCID,Wittek Adam

Publisher

Springer Science and Business Media LLC

Subject

Economic Geology,General Energy,Geophysics,Geotechnical Engineering and Engineering Geology

Link

http://link.springer.com/article/10.1007/s40948-018-0086-6/fulltext.html

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3. Alemdag S, Gurocak Z, Cevik A, Cabalar AF, Gokceoglu C (2016) Modeling deformation modulus of a stratified sedimentary rock mass using neural network, fuzzy inference and genetic programming. Eng Geol 203:70–82. https://doi.org/10.1016/j.enggeo.2015.12.002

4. Allard J, Courtecuisse H, Faure F (2012) Chapter 21—Implicit FEM solver on GPU for interactive deformation simulation. In: Wenmei WH (ed) GPU computing gems, Jade edition. Morgan Kaufmann, Boston, pp 281–294. https://doi.org/10.1016/b978-0-12-385963-1.00021-6

5. Alvarez Grima M, Verhoef P (1999) Forecasting rock trencher performance using fuzzy logic. Int J Rock Mech Min Sci 36:413–432

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