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基于改进神经网络算法的动态电源管理研究

Research of dynamic power management based on improved neural network algorithm
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摘要 采用改进神经网络算法,构建了具有均衡能量开销的动态电源管理方式。该方式可以较为准确地预测电源系统的运行特性,有效降低系统的开销,提高电源系统工作的灵活性和适应性,达到提高电源运行效率,延长寿命的目的。 The improved neural network algorithm was adopted to build a dynamic power management with balanced energy overhead.This method could predict the operating characteristics of the power system more accurately,reduce the overhead of the system effectively,and improve the flexibility and adaptability of the power system.So it could improve the efficiency of the power supply and prolong the life span.
作者 郄君 李颜鑫 韩晓倩 QIE Jun;LI Yan-xin;HAN Xiao-qian(Hebei Vocational College of Politics and Law,Shijiazhuang Hebei 050061,China;Sifang College,Shijiazhuang Tiedao University,Shijiazhuang Hebei 050061,China)
机构地区 河北政法职业学院 石家庄铁道大学四方学院
出处 《电源技术》 CAS CSCD 北大核心 2018年第3期436-437,共2页 Chinese Journal of Power Sources
关键词 电源运行 动态管理 神经网络算法 均衡能量开销 power operation dynamic management neural network algorithm balanced energy cost
分类号 TM73 [电气工程—电力系统及自动化]
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电源技术
2018年 第3期

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