Title
Using neural networks for the diagnosis and repair of corroded steel in reinforced concrete structures
Department
Construction Engineering Department
Degree Name
MS in Construction Engineering
Date of Award
2-1-2007
Online Submission Date
January 2006
Document Type
Thesis
Extent
128 leaves :
Library of Congress Subject Heading 1
Reinforced concrete
Rights
The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy.
Recommended Citation
APA Citation
Fayez, Y.
(2007).Using neural networks for the diagnosis and repair of corroded steel in reinforced concrete structures [Master’s thesis, the American University in Cairo]. AUC Knowledge Fountain.
https://fount.aucegypt.edu/retro_etds/2036
MLA Citation
Fayez, Youssef Ibrahim. Using neural networks for the diagnosis and repair of corroded steel in reinforced concrete structures. 2007. American University in Cairo, Master's thesis. AUC Knowledge Fountain.
https://fount.aucegypt.edu/retro_etds/2036
Call Number
Thesis 2006/96
Location
mgfth