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Updated: Feb 10, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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基于忍者优化算法超宽带天线电磁带差距建模通过生成对抗网络

Amel Ali Alhussan1, Doaa Sami Khafaga1, El-Sayed M El-Kenawy2,3

  • 1Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, PO Box 84428, Riyadh, 11671, Saudi Arabia.

Scientific reports
|February 8, 2026
PubMed
概括

本研究介绍了一个智能框架,将生成对抗网络 (GAN) 与忍者优化算法 (NOA) 结合起来,用于准确的超宽带天线-电磁带间隙 (EBG) 性能预测. 在设计先进的通信系统中,NOA增强的GAN提供了卓越的准确性和稳定性.

关键词:
天线设计天线设计忍者优化算法 (Ninja) 的使用超宽带是超宽带的无线通信无线通信超宽带天线 EBG 超宽带天线

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