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机器学习预测冷回收混合青的道路性能,使用遗传算法超参数优化.

Zongyuan Wu1,2, Shiming Li1, Decai Wang1

  • 1School of Civil Engineering and Communication, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.

Materials (Basel, Switzerland)
|December 31, 2025
PubMed
概括

机器学习模型准确地预测了冷回收混合青 (CRMA) 的性能. 优化的XGBoost模型确定了诸如固化温度等关键因素,有助于可持续的路面设计.

关键词:
解释SHAP的解释冰冷回收混合青青.遗传算法是一种遗传算法.机器学习 预测 预测道路性能表现的道路性能表现.

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