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

• المؤلفون الرئيسيون: Khajehzadeh, Mohammad, Keawsawasvong, Suraparb, Kamchoom, Viroon, Shi, Chao, Khajehzadeh, Alimorad
• مؤلفون آخرون: School of Civil and Environmental Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering; Hybrid metaheuristic; Long short-term memory
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/181372
• المؤسسة: 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...