Slope Stability Prediction Based on Incremental Learning Bayesian Model and Literature Data Mining

Applied Sciences, Год журнала: 2025, Номер 15(5), С. 2423 - 2423

Опубликована: Фев. 24, 2025

In predicting slope stability, updating datasets with new cases necessitates retraining traditional machine learning models, consuming substantial time and resources. This paper introduces the Incremental Learning Bayesian (ILB) model, combining incremental theory naive to address this issue. Key parameters—height; angle; unit weight; cohesion; internal friction pore water ratio—are used as predictive indicators. A dataset of 242 from existing literature is compiled for training evaluation. The ILB model’s performance assessed using accuracy, area under ROC curve (AUC), generalization ability, computation compared four common batch models: Random Forest (RF), Gradient Boosting Machine (GBM), Support Vector (SVM), Multi-Layer Perceptron (MLP). Variable importance partial dependence plots are explore relationship between prediction results parameters. Validation performed real Lala Copper Mine in Sichuan Province, China. Results show that (1) accuracy AUC improve grows. (2) model outperforms GBM, SVM, MLP AUC, similar RF. (3) It demonstrates superior lower than models. (4) Internal angle, ratio most important predictors.

Язык: Английский

---

Micro-macro spatiotemporal multi-graph network model for landslide displacement prediction

Engineering Analysis with Boundary Elements, Год журнала: 2025, Номер 176, С. 106264 - 106264

Опубликована: Апрель 12, 2025

---

Analysis of slope instability factors: An application study of a novel interpretable ensemble model

Earth Science Informatics, Год журнала: 2025, Номер 18(2)

Опубликована: Май 23, 2025

Язык: Английский

---

Settlement prediction of Nanjing Metro Line 10 with HOA-VMD-LSTM

Measurement, Год журнала: 2024, Номер unknown, С. 116477 - 116477

Опубликована: Дек. 1, 2024

Язык: Английский

---

Slope Stability Prediction Based on Incremental Learning Bayesian Model and Literature Data Mining

Опубликована: Янв. 1, 2024

Язык: Английский

---