,

Yassine Bouteraa1,2, Mohammad Khishe3,4,5

  • 1Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, 11942, Al-Kharj, Saudi Arabia. yassine.bouteraa@isbs.usf.tn.

Scientific reports
|April 3, 2025
PubMed
概括

这项研究通过使用灰狼优化和碎形混乱地图来增强深层卷积神经网络架构. 这种新的方法实现了87.37%的准确性,在9个数据集上表现优于其他23个分类器.

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