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Updated: May 8, 2025

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使用深度合奏学习预测学生的表现

Bo Tang1, Senlin Li1, Changhua Zhao1

  • 1School of Computer and Artificial Intelligence, Huaihua University, Huaihua 418000, China.

Journal of Intelligence
|December 27, 2024
PubMed
概括

这项研究引入了一个优化的深度神经网络组合,用于预测学生的学业成绩. 这种新的方法提高了预测准确度,超过了现有的方法,并帮助教育机构支持学生.

关键词:
深信网络是一个深信网络.机器学习是机器学习.粒子群集优化 粒子群集优化预测学生的表现 预测学生的表现

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