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Updated: May 8, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

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一个基于深度学习的多目标功能,用于在多载波诺马系统中使用混合启发式改进来实现基于深度学习的自动能源效率功率分配

Chiranjeevi Thokala1,2, Pradnya H Ghare2

  • 1Department of Electronics and Communication Engineering, VNR VignanaJyothi Institute of Engineering and Technology, Hyderabad, India.

Network (Bristol, England)
|March 13, 2025
PubMed
概括

本研究介绍了一种优化算法,以提高多载波非直角多接入 (MC-NOMA) 系统的能源效率. 新方法在动态网络条件下提高了用户容量和系统性能.

关键词:
多载波非直角多重访问的多载波梁成型 梁成型 梁成型能源效率高的电力分配.培训和鼠优化训练的混合体.参数优化的参数优化

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