Applying neural networks in case-based reasoning adaptation for cost assessment of steel buildings
Department
Computer Science & Engineering Department
Degree Name
MS in Computer Science
Date of Award
2-1-2000
Online Submission Date
January 1999
Document Type
Thesis
Extent
140 leaves :
Library of Congress Subject Heading 1
Neural networks (Computer science)
Library of Congress Subject Heading 2
Steel, structural.
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
AbdRabou, E.
(2000).Applying neural networks in case-based reasoning adaptation for cost assessment of steel buildings [Thesis, the American University in Cairo]. AUC Knowledge Fountain.
https://fount.aucegypt.edu/retro_etds/1342
MLA Citation
AbdRabou, Essam Amin MLotfy. Applying neural networks in case-based reasoning adaptation for cost assessment of steel buildings. 2000. American University in Cairo, Thesis. AUC Knowledge Fountain.
https://fount.aucegypt.edu/retro_etds/1342
Call Number
Thesis 1999/53
Location
mgfth