A support vector regression model for predicting tunnel boring machine penetration rates-Reference-Cited by-同舟云学术

A support vector regression model for predicting tunnel boring machine penetration rates

Published:2014-12 Issue: Volume:72 Page:214-229
ISSN:1365-1609
Container-title:International Journal of Rock Mechanics and Mining Sciences
language:en
Short-container-title:International Journal of Rock Mechanics and Mining Sciences

Author:

Mahdevari Satar^ORCID,Shahriar Kourosh,Yagiz Saffet,Akbarpour Shirazi Mohsen

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology

Reference72 articles.

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3. Rostami J, Ozdemir L, Nilsen B. Comparison between CSM and NTH hard rock TBM performance prediction models. In: Proceedings of the annual technical meeting: Institute of Shaft Drilling Technologys (ISDT). Las Vegas, Colorado School of Mines, Golden, CO, USA; 1996. p. 11.

4. Modeling tunnel boring machine by neuro-fuzzy methods;Alvarez Grima;Tunnelling Underground Space Technol,2000

5. TBM performance estimation using rock mass classification;Sapigni;Int J Rock Mech Min Sci,2002

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