Machine learning techniques for predictive modelling in geotechnical engineering: a succinct review
Abstract Geotechnical engineering plays a crucial role in evaluating seismic hazards, especially in areas prone to earthquakes, ensuring that infrastructure remains resilient. The advent of machine learning (ML) techniques has significantly enhanced the prediction of soil-structure interactions duri...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
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| Series: | Discover Civil Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44290-025-00224-w |
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