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Applied Computational Intelligence and Soft Computing
Volume 2017, Article ID 9897078, 11 pages
https://doi.org/10.1155/2017/9897078
Research Article

Modeling Punching Shear Capacity of Fiber-Reinforced Polymer Concrete Slabs: A Comparative Study of Instance-Based and Neural Network Learning

1Institute of Research and Development, Faculty of Civil Engineering, Duy Tan University, K7/25 Quang Trung, Danang, Vietnam
2Faculty of Architecture, Duy Tan University, K7/25 Quang Trung, Danang, Vietnam
3International School, Duy Tan University, 254 Nguyen Van Linh, Danang 550000, Vietnam

Correspondence should be addressed to Nhat-Duc Hoang; nv.ude.utd@cudtahngnaoh

Received 1 December 2016; Revised 17 January 2017; Accepted 15 March 2017; Published 4 April 2017

Academic Editor: Lukasz Sadowski

Copyright © 2017 Nhat-Duc Hoang et al. 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

Nhat-Duc Hoang, Duy-Thang Vu, Xuan-Linh Tran, and Van-Duc Tran, “Modeling Punching Shear Capacity of Fiber-Reinforced Polymer Concrete Slabs: A Comparative Study of Instance-Based and Neural Network Learning,” Applied Computational Intelligence and Soft Computing, vol. 2017, Article ID 9897078, 11 pages, 2017. https://doi.org/10.1155/2017/9897078.