Developing effective optimized machine learning approaches for settlement prediction of shallow foundation

• Main Authors: Khajehzadeh, Mohammad, Keawsawasvong, Suraparb, Kamchoom, Viroon, Shi, Chao, Khajehzadeh, Alimorad
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Hybrid metaheuristic; Long short-term memory
• Online Access: https://hdl.handle.net/10356/181372
• Institution: Nanyang Technological University

The precise assessment of shallow foundation settlement on cohesionless soils is a challenging geotechnical issue, primarily due to the significant uncertainties related to the factors influencing the settlement. This study aims to create an advanced hybrid machine learning methodology for accuratel...