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The Scientific World Journal
Volume 2013 (2013), Article ID 729525, 9 pages
http://dx.doi.org/10.1155/2013/729525
Research Article

Predicting Subcontractor Performance Using Web-Based Evolutionary Fuzzy Neural Networks

Department of Civil Engineering, National Pingtung University of Science and Technology, 1 Shuefu Road, Neipu, Pingtung 912, Taiwan

Received 2 May 2013; Accepted 6 June 2013

Academic Editors: S. Chen and E. Lui

Copyright © 2013 Chien-Ho Ko. 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.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Lukasz Sadowski, and Jerzy Hola, “New Nondestructive Way Of Identifying The Values Of Pull-Off Adhesion Between Concrete Layers In Floors,” Journal of Civil Engineering and Management, vol. 20, no. 4, pp. 561–569, 2014. View at Publisher · View at Google Scholar
  • Łukasz Sadowski, and Jerzy Hoła, “ANN modeling of pull-off adhesion of concrete layers,” Advances in Engineering Software, 2015. View at Publisher · View at Google Scholar
  • Nurshikin Mohamad Shukery, Roslan Amirudin, and Trevor Sofield, “Level of importance of performance-based tender evaluation indicators,” Indian Journal of Science and Technology, vol. 9, no. 34, 2016. View at Publisher · View at Google Scholar