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ID:33989332
大小:5.04 MB
页数:66页
时间:2019-03-03
《基于概率神经网络的小电流接地系统模式识别故障选线方法与应用》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、目录4.1Matlab软件介绍............................................................................................224.1.1Simulink软件.......................................................................................224.1.2SimPowerSystems库...............................
2、............................................234.1.3Matlab建模方法..................................................................................234.2小电流接地系统接地故障模型的建立与仿真...........................................234.2.1中性点不接地系统接地故障仿真..................................
3、...................254.2.2故障距离、接地电阻与故障相角对接地故障的影响......................314.2.3电弧高阻接地故障仿真.....................................................................324.2.4混合线缆接地故障仿真.....................................................................334.2.5噪声干扰下的接地故障仿真....
4、.........................................................364.2.6中性点经消弧线圈接地系统接地故障仿真.....................................374.3本章小结.......................................................................................................38第五章概率神经网络模式识别选线方法...............
5、................................................395.1模式识别技术...............................................................................................395.2数据融合技术...............................................................................................395.3
6、概率神经网络介绍.......................................................................................405.3.1神经网络概念.....................................................................................405.3.2概率神经网络模式识别概述.....................................................
7、........415.3.3概率神经网络模式识别算法.............................................................445.4数据归一化处理...........................................................................................455.5基于概率神经网络的模式识别选线方法...................................................4
8、55.6概率神经网络模式识别选线仿真...............................................................475.7spread值对概率神经网络的影响..........................................
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