Selection of Optimized Retaining Wall Technique Using Self-Organizing Maps

Selection of Optimized Retaining Wall Technique Using Self-Organizing Maps

Construction projects in urban areas tend to be associated with high-rise buildings and are of very large-scales; hence, the importance of a project’s underground construction work is significant. In this study, a rational model based on machine learning (ML) was developed. ML algorithms are program...

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Bibliographic Details
Main Authors: Young-Su Kim, U-Yeol Park, Seoung-Wook Whang, Dong-Joon Ahn, Sangyong Kim
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sustainability
Subjects:
artificial intelligence
decision-making
machine learning
retaining wall technique
self-organizing maps
Online Access:https://www.mdpi.com/2071-1050/13/3/1328

Internet

https://www.mdpi.com/2071-1050/13/3/1328

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