Determination of Damage in Reinforced Concrete Frames with Shear Walls Using Self-Organizing Feature Map
Joint Authors
Nikoo, Mehdi
Sadowski, Łukasz
Khademi, Faezehossadat
Nikoo, Mohammad
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
The paper presents the use of a self-organizing feature map (SOFM) for determining damage in reinforced concrete frames with shear walls.
For this purpose, a concrete frame with a shear wall was subjected to nonlinear dynamic analysis.
The SOFM was optimized using the genetic algorithm (GA) in order to determine the number of layers, number of nodes in the hidden layer, transfer function type, and learning algorithm.
The obtained model was compared with linear regression (LR) and nonlinear regression (NonLR) models and also the radial basis function (RBF) of a neural network.
It was concluded that the SOFM, when optimized with the GA, has more strength, flexibility, and accuracy.
American Psychological Association (APA)
Nikoo, Mehdi& Sadowski, Łukasz& Khademi, Faezehossadat& Nikoo, Mohammad. 2017. Determination of Damage in Reinforced Concrete Frames with Shear Walls Using Self-Organizing Feature Map. Applied Computational Intelligence and Soft Computing،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1121425
Modern Language Association (MLA)
Nikoo, Mehdi…[et al.]. Determination of Damage in Reinforced Concrete Frames with Shear Walls Using Self-Organizing Feature Map. Applied Computational Intelligence and Soft Computing No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1121425
American Medical Association (AMA)
Nikoo, Mehdi& Sadowski, Łukasz& Khademi, Faezehossadat& Nikoo, Mohammad. Determination of Damage in Reinforced Concrete Frames with Shear Walls Using Self-Organizing Feature Map. Applied Computational Intelligence and Soft Computing. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1121425
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1121425