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September 10, 2025Journal of Computational Methods in Sciences and Engineering

An improved CS-SVM model for slope deformation forecasting under a BIM-based monitoring system

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Authors

YJYujuan JinJWJiaqi Wang

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Overview

This research reveals a novel prediction model for slope deformation using a monitoring system, improving safety against geological disasters.

Key Points

  • The optimized prediction model achieved the highest accuracy with a sum of squared errors of 0.121.
  • With a hypervolume of 0.977 and inverse substitution distance of 0.108, the model demonstrates superior convergence.
  • The method efficiently identifies potential safety hazards within 6.46 seconds, aiding in disaster prevention.
  • It provides theoretical support for slope treatment plans, potentially reducing casualties and property damage.

Cite This Study

Jin et al. (2025) studied this question.

synapsesocial.com/papers/68c1b18b54b1d3bfb60e86c9https://doi.org/10.1177/14727978251364452
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