Slope Deformation Prediction Combining Particle Swarm Optimization-Based Fractional-Order Grey Model and <i>K</i>-Means Clustering

Slope Deformation Prediction Combining Particle Swarm Optimization-Based Fractional-Order Grey Model and <i>K</i>-Means Clustering

Slope deformation poses significant risks to infrastructure, ecosystems, and human safety, making early and accurate predictions essential for mitigating slope failures and landslides. In this study, we propose a novel approach that integrates a fractional-order grey model (FOGM) with particle swarm...

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Bibliographic Details
Main Authors: Zhenzhu Meng, Yating Hu, Shunqiang Jiang, Sen Zheng, Jinxin Zhang, Zhenxia Yuan, Shaofeng Yao
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Fractal and Fractional
Subjects:
deformation
displacement prediction
fractional-order grey model
k-means clustering
particle swarm optimization
monitoring data
Online Access:https://www.mdpi.com/2504-3110/9/4/210
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