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优化后向传播神经网络使用基于准对立学习的非洲优化算法用于无线传感器网络中的数据融合.

Alaa A Qaffas1

  • 1Department of MIS, College of Business, University of Jeddah, Jeddah 21589, Saudi Arabia.

Sensors (Basel, Switzerland)
|July 29, 2023
PubMed
概括

本研究介绍了一种新的无线传感器网络 (WSN) 的节能路由方法,使用基于准对立学习的非洲优化算法 (QAVOA). 拟议的QAVOA通过优化数据融合和集群头部选择,显著提高了网络寿命.

关键词:
非洲的优化算法反向传播神经网络的神经网络.基于集群的路由.数据融合数据融合几乎是对立式的学习.无线传感器网络是无线传感器网络.

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