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Updated: Jun 22, 2025

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基于元启发式优化算法的特征选择,用于使用机器学习算法预测坐站运动的联合时刻

Ekin Ekinci1, Zeynep Garip1, Kasim Serbest2

  • 1Department of Computer Engineering, Faculty of Technology, Sakarya University of Applied Sciences, Sakarya, Turkey.

Computers in biology and medicine
|June 29, 2024
PubMed
概括

这项研究使用元启发式优化和机器学习来准确地预测坐立运动中的关节时刻,使用最小的数据. 这些发现增强了生物力学分析和临床应用.

关键词:
平衡优化器 (EO) 是一个平衡优化器.额外的树回归器.反向动态分析是一种反向动态分析.下肢的下肢是最重要的.曼塔鱼的营养优化 (MRFO)海洋捕食者算法 (MPA) 是一个算法.

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