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Updated: Jun 14, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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基于由元启发式算法优化随机森林的机动车交通事故严重程度的预测和解释

Xing Wang1, Yikun Su1, Zhizhe Zheng1

  • 1School of Civil Engineering and Transportation, Northeast Forestry University, Harbin, 150040, China.

Heliyon
|September 3, 2024
PubMed
概括

准确的交通事故严重性预测是使用一个随机森林模型,由皇冠猪优化器优化改进. 该框架提高了预测准确性,并确定了温度和天气等关键因素,以提高道路安全性.

关键词:
撞车严重程度的分类,撞车严重程度的分类.可解释的机器学习地理信息系统 (GIS) 是一个超启发式算法 (Meta-heuristic algorithms) 是一种超启发式算法.随机的森林随机的森林车辆发生事故,车辆毁.

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