APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO PREDICT SOIL RECOMPRESSION INDEX AND RECOMPRESSION RATIO

APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO PREDICT SOIL RECOMPRESSION INDEX AND RECOMPRESSION RATIO

Overconsolidated soils are widely encountered in practice where settlement calculations are crucial. The recompression index (Cr) and the recompression ratio (Cr) are considered as one of the most important parameters used in settlement calculations. To achieve this purpose, expensive and time-cons...

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Bibliographic Details
Main Authors: Abbas J. Al-Taie, Ahmed F. Al-Bayati
Format: Article
Language:English
Published: Faculty of Engineering, University of Kufa 2018-11-01
Series:Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
Subjects:
Recompression Index
Recompression Ratio
Overconsolidated Soil
Artificial Neural Network
Online Access:http://www.uokufa.edu.iq/journals/index.php/kje/article/view/7722

Internet

http://www.uokufa.edu.iq/journals/index.php/kje/article/view/7722

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