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Updated: Sep 8, 2025

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
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A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials

Published on: May 18, 2015

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基于SHAP和BP神经网络的堆承载能力可解释预测模型的研究

Shunbo Li1, Mingwei Hai2,3, Qi Zhang4

  • 1CCCC Second Highway Consultants Co., Ltd, WuHan, 430050, HuBei, China.

Scientific reports
|August 1, 2025
PubMed
概括

一个逆向传播 (BP) 神经网络,通过像非洲优化算法 (AVOA) 这样的算法进行优化,准确地预测堆承载能力. 没有排水的切削强度和垂直应力是影响预测的关键因素.

关键词:
在BP神经网络中,神经网络堆的承载能力.可解释的预测模型优化算法的优化算法这就是 SHAP SHAP 的意思.

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