Table of Contents
Journal of Construction Engineering
Volume 2014, Article ID 109184, 9 pages
http://dx.doi.org/10.1155/2014/109184
Research Article

An Artificial Intelligence Approach for Groutability Estimation Based on Autotuning Support Vector Machine

Department of Technology and Construction Management, Faculty of Building and Industrial Construction, National University of Civil Engineering, Room 307, A1 Building, No. 55 Giai Phong Road, Hanoi 10000, Vietnam

Received 23 December 2013; Revised 27 February 2014; Accepted 20 March 2014; Published 10 April 2014

Academic Editor: Eric Lui

Copyright © 2014 Hong-Hai Tran and Nhat-Duc Hoang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Hong-Hai Tran and Nhat-Duc Hoang, “An Artificial Intelligence Approach for Groutability Estimation Based on Autotuning Support Vector Machine,” Journal of Construction Engineering, vol. 2014, Article ID 109184, 9 pages, 2014. https://doi.org/10.1155/2014/109184.