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.
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P. Espinoza-Haro
  • P. Espinoza-Haro
  • Faculty of Industrial and Systems Engineering, National University of Engineering, Av. Túpac Amaru, 210. Lima 25, Peru.
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I. Moromi-Nakata
  • I. Moromi-Nakata
  • Faculty of Industrial and Systems Engineering, National University of Engineering, Av. Túpac Amaru, 210. Lima 25, Peru.
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A. Torre-Carrillo
  • A. Torre-Carrillo
  • Faculty of Industrial and Systems Engineering, National University of Engineering, Av. Túpac Amaru, 210. Lima 25, Peru.
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F. Garcia-Fernandez
  • F. Garcia-Fernandez
  • Department of Forest Engineering, Polytechnic University of Madrid, Ciudad Universitaria S / N, 28040 Madrid, Spain.
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  •  Received: 28 December 2016
  •  Accepted: 10 August 2017
  •  Published: 31 August 2017

References

Chou JS, Chiu CK, Farfoura M, Al Taharwa I (2011). Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques. J. Comp. Civil Eng. 25(3):242-253.
Crossref
 

Rivva LE (2008). Concreto de alta Resistencia. Fondo Editorial Instituto Construcción y Gerencia. Lima Perú.

  
 

Nataraja MC, Jayaram MA, Ravikumar CN (2006). Kohonen's feature maps for fly ash categorization. Int. J. Neural Syst. 16(06):457-466.
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Moromi NI, Torre CA, Acu-a PL, García FF, Espinoza HP (2013). Self Organizing Maps estudio concreto alto rendimiento. 

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Yeh IC (1998). Modeling of strength of highperformance concrete using artificial neural networks. Cem. Concr. Compos. 28(12):1797-1808.
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Yeh IC (2007). Modeling slump flow of concrete using second-order regressions and artificial neural networks. Cem. Concr. Compos. 29:474-480.
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Cal Y (1995). Soil classification by neural network. Adv. Eng. Softw. 22(2):95-97.
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ASTM C 39 C 39 M (2001). The American Society for Testing Materials, Standard Test Method for Compressive Strength of Cylindrical Concrete Specimens. West Conshohocken PA. USA.

  
 

ASTM C 192 C 192 M (2000) The American Society for Testing Materials Standard Practice for Making and Curing Concrete Test Specimens in the Laboratory. West Conshohocken PA. USA.

  
 

Levenberg K (1944). A Method for the Solution of Certain Problems in Least Squares. Quart. Appl. Math. 2:164-168.
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Marquardt D (1963). An Algorithm for Least- Squares Estimation of Nonlinear Parameters. J. Soc. Ind. Appl. Math. 11(2):431-441.
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This article is published under the terms of the Creative Commons Attribution License 4.0

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