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September 10, 2025Frontiers in Built EnvironmentOpen Access

A hybrid VMD-LSTM-SVR model for landslide prediction

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Authors

NWNianhong WangYangzhou Polytechnic InstituteMWMeijun WangAnhui University of Traditional Chinese MedicineJZJun ZhangYangzhou Polytechnic Institute

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Overview

This research demonstrates a hybrid model improves predictive accuracy for landslide displacement, indicating advancements in disaster prevention.

Key Points

  • The VMD-SVR-LSTM model achieves an RMSE of 0.0328, indicating high predictive accuracy.
  • Results show an R² of 0.8487, further highlighting the model's strong fitting capability.
  • Employing the VMD algorithm enhances the decomposition of landslide displacement time series.
  • This approach provides a novel method for landslide disaster prevention and early warning systems.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68c1ad4f54b1d3bfb60e4e20https://doi.org/10.3389/fbuil.2025.1630201
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