Predicting tunnel convergence using Multivariate Adaptive Regression Spline and Artificial Neural Network-Reference-Cited by-同舟云学术

Predicting tunnel convergence using Multivariate Adaptive Regression Spline and Artificial Neural Network

Published:2013-09 Issue: Volume:38 Page:368-376
ISSN:0886-7798
Container-title:Tunnelling and Underground Space Technology
language:en
Short-container-title:Tunnelling and Underground Space Technology

Author:

Adoko Amoussou-Coffi,Jiao Yu-Yong,Wu Li,Wang Hao,Wang Zi-Hao

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction

Reference39 articles.

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3. Some new Q-value correlations to assist in site characterisation and tunnel design;Barton;Int. J. Rock Mech. Min. Sci.,2002

4. Engineering Rock Mass Classification;Bieniawski,1989

5. China Railway Corporation 14th Construction Bureau, 2010. CKTJ9 Shanghai-Kunming Passenger Line Part I, Construction Management Manual. China Railway Corporation, Changsha.

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