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Updated: May 23, 2025

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在智能教育系统中,用于学生学预测的PSO加权整体框架与SMOTE平衡

Achin Jain1, Arun Kumar Dubey1, Shakir Khan2

  • 1Department of Information Technology, Bharati Vidyapeeth's College of Engineering, New Delhi, India.

Scientific reports
|May 20, 2025
PubMed
概括

预测学生学是及时干预的关键. 一个新的粒子群集优化 (PSO) 权重组合框架与合成少数超样本技术 (SMOTE) 提高了预测准确性和效率,优于其他方法.

关键词:
这就是ACO ACO ACO.整体分类的统一分类.花火的火是什么意思不平衡的学习学习.机器学习 机器学习公共服务人员 (PSO)在SMOTE中使用.学生学事件 学生学事件

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