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Advances in Materials Science and Engineering
Volume 2016 (2016), Article ID 7648467, 10 pages
http://dx.doi.org/10.1155/2016/7648467
Research Article

Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming

1Department of Computer Science and Engineering, Thapar University, Patiala 147004, India
2Department of Civil Engineering, Thapar University, Patiala 147004, India

Received 23 June 2015; Accepted 18 August 2015

Academic Editor: Luigi Nicolais

Copyright © 2016 Palika Chopra 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

Palika Chopra, Rajendra Kumar Sharma, and Maneek Kumar, “Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming,” Advances in Materials Science and Engineering, vol. 2016, Article ID 7648467, 10 pages, 2016. doi:10.1155/2016/7648467