Application of Machine Learning in Slope Stability Assessment
This book focuses on the application of machine learning in slope stability assessment. The contents include: overview of machine learning approaches, the mainstream smart in-situ monitoring techniques, the applications of the main machine learning algorithms, including the supervised learning, unsu...
Sábháilte in:
| Príomhchruthaitheoirí: | , , , , |
|---|---|
| Údar corparáideach: | |
| Formáid: | Leictreonach Ríomhleabhar |
| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| Eagrán: | 1st ed. 2023. |
| Ábhair: | |
| Rochtain ar líne: | https://doi.org/10.1007/978-981-99-2756-2 |
| Clibeanna: |
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Clár na nÁbhar:
- Overview
- Remote Sensing Techniques
- Machine Learning Algorithms
- Real-time Monitoring and Early Warning of Landslide
- Prediction of Slope Stability Using Ensemble Learning Techniques
- Application of LSTM and Prophet Algorithm in Slope Displacement Prediction
- Displacement Prediction of Jiuxianping Landslide using GRU Networks
- Efficient Seismic Stability Analysis of Slopes Subjected to Water Level Changes Using Gradient Boosting Algorithms
- Efficient Reliability Analysis of Slopes in Spatially Variable Soils Using XGBoost
- Efficient Time-variant Reliability Analysis of Bazimen Landslide in the TGRA Using XGBoost and LightGBM
- Future work recommendation.