Journal of
Civil Engineering and Construction Technology

  • Abbreviation: J. Civ. Eng. Constr. Technol.
  • Language: English
  • ISSN: 2141-2634
  • DOI: 10.5897/JCECT
  • Start Year: 2010
  • Published Articles: 140

Full Length Research Paper

Estimation of the compressive strength of high performance concrete with artificial neural networks

L. Acuna-Pinaud
  • L. Acuna-Pinaud
  • Faculty of Industrial and Systems Engineering, National University of Engineering, Av. Túpac Amaru, 210. Lima 25, Peru.
  • Google Scholar
P. Espinoza-Haro
  • P. Espinoza-Haro
  • Faculty of Industrial and Systems Engineering, National University of Engineering, Av. Túpac Amaru, 210. Lima 25, Peru.
  • Google Scholar
I. Moromi-Nakata
  • I. Moromi-Nakata
  • Faculty of Industrial and Systems Engineering, National University of Engineering, Av. Túpac Amaru, 210. Lima 25, Peru.
  • Google Scholar
A. Torre-Carrillo
  • A. Torre-Carrillo
  • Faculty of Industrial and Systems Engineering, National University of Engineering, Av. Túpac Amaru, 210. Lima 25, Peru.
  • Google Scholar
F. Garcia-Fernandez
  • F. Garcia-Fernandez
  • Department of Forest Engineering, Polytechnic University of Madrid, Ciudad Universitaria S / N, 28040 Madrid, Spain.
  • Google Scholar


  •  Received: 28 December 2016
  •  Accepted: 10 August 2017
  •  Published: 31 August 2017

How to cite this article

APA /
Acuña-Pinaud, L., Espinoza-Haro, P., Moromi-Nakata, I., Torre-Carrillo, A., & García-Fernández, F. (2017). Estimation of the compressive strength of high performance concrete with artificial neural networks. Journal of Civil Engineering and Construction Technology, 8(7), 67-73.
Chicago /
L. Acuña-Pinaud, P. Espinoza-Haro, I. Moromi-Nakata, A. Torre-Carrillo and F. Garc&ia-Fern&andez. "Estimation of the compressive strength of high performance concrete with artificial neural networks." Journal of Civil Engineering and Construction Technology 8, no. 7 (2017): 67-73.
MLA /
L. Acuntilde;a-Pinaud, et al. "Estimation of the compressive strength of high performance concrete with artificial neural networks." Journal of Civil Engineering and Construction Technology 8.7 (2017): 67-73.