Using feed-forward back propagation (FFBP) neural networks for compressive strength prediction of lightweight concrete made with different percentage of scoria instead of sand

Razavi S. V.; Jumaat M. Z.; Ahmed H. EI-Shafie

doi:10.5897/IJPS11.204

International Journal of
Physical Sciences

Abbreviation: Int. J. Phys. Sci.
Language: English
ISSN: 1992-1950
DOI: 10.5897/IJPS
Start Year: 2006
Published Articles: 2578

Full Length Research Paper

Using feed-forward back propagation (FFBP) neural networks for compressive strength prediction of lightweight concrete made with different percentage of scoria instead of sand

Razavi S. V.1, Jumaat M. Z.1 and Ahmed H. EI-Shafie2

1Civil Engineering Department, University Malaya (UM), Malaysia. 2Civil Engineering Department, Universiti Kebangsaan Malaysia (UKM), Malaysia.
Email: [email protected]

Article Number - 6B9CB6328791
Vol.6(6), pp. 1325-1331 , March 2011
https://doi.org/10.5897/IJPS11.204

Accepted: 02 March 2011
Published: 18 March 2011

Copyright © 2025 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0.

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International Journal of Physical Sciences

Using feed-forward back propagation (FFBP) neural networks for compressive strength prediction of lightweight concrete made with different percentage of scoria instead of sand

Razavi S. V.1, Jumaat M. Z.1 and Ahmed H. EI-Shafie2

International Journal of
Physical Sciences