Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks

Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks

Abstract To facilitate rapid and precise predictions of pile bearing capacity, a Back Propagation (BP) neural network model has been developed utilizing data sourced from existing literature. The model incorporates several input parameters, including pile length, pile diameter, average effective ver...

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Bibliographic Details
Main Authors: Shunbo Li, Mingwei Hai, Qi Zhang, Bin Zhou, Miao Wang, Zhuo Zhao
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Bearing capacity of piles
BP neural networks
SHAP
Interpretable predictive models
Optimization algorithms
Online Access:https://doi.org/10.1038/s41598-025-13616-w
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https://doi.org/10.1038/s41598-025-13616-w

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