| 基于鱼群算法优化BP神经网络的电力客户满意度综合评价方法 |
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| 引用本文： | 杨淑霞,韩奇,徐琳茜,路石俊.基于鱼群算法优化BP神经网络的电力客户满意度综合评价方法[J].电网技术,2011(5):146-151. |
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| 作者姓名： | 杨淑霞 韩奇 徐琳茜 路石俊 |
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| 作者单位： | 华北电力大学经济与管理学院;内蒙古电力(集团)有限责任公司; |
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| 摘 要： | 首先从形象、期望、对供电质量的感知、对服务质量的感知、价值感知、抱怨、忠诚7个方面建立供电客户满意度测评指标体系,然后分析了BP神经网络与鱼群算法结合的可行性,探讨了鱼群算法优化神经网络的步骤。最后对5个地区2009年供电客户满意度测评数据,在专家打分测评的基础上,运用神经网络及鱼群算法优化神经网络方法进行满意度评价。前者在收敛过程中130次停留在误差值10-1左右,后者在局部最优处仅仅停留10次;在误差值为0.001时,前者经过168次训练后能够达到目标,而后者只需要88次训练就能达到目标。结果表明鱼群算法优化神经网络具有准确、快捷、简易等优点,此方法用于供电客户满意度评价行之有效。
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| 关 键 词： | 鱼群算法 BP神经网络 电力客户满意度 综合评价 |
Comprehensive Evaluation of Electric Power Customer Satisfaction Based on BP Neural Network Optimized by Fish Swarm Algorithm |
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| YANG Shuxia,HAN Qi,XU Linqian,LU Shijun Co.,Ltd.,Huhhot ,Inner Mongolia Autonomous Region,China.Comprehensive Evaluation of Electric Power Customer Satisfaction Based on BP Neural Network Optimized by Fish Swarm Algorithm[J].Power System Technology,2011(5):146-151. |
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| Authors: | YANG Shuxia HAN Qi XU Linqian LU Shijun Co Ltd Huhhot Inner Mongolia Autonomous Region China |
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| Affiliation: | YANG Shuxia1,HAN Qi1,XU Linqian1,LU Shijun2(1.School of Economics and Management,North China Electricity Power University,Changping District,Beijing 102206,China,2.Inner Mongolia Electric Power(Group) Co.,Ltd.,Huhhot 010020,Inner Mongolia Autonomous Region,China) |
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| Abstract: | Firstly,based on seven aspects,namely the image,the expectation,the perception on power quality,the perception on quality of service(QoS),the perceived value,grumble and allegiance,an index system to comprehensively evaluate the satisfaction of electric power customers is established.Then the feasibility of optimizing BP neural network by fish swarm algorithm is analyzed and the procedures for the optimization of BP neural network by fish swarm algorithm are researched.Finally,according to evaluation data o... |
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| Keywords: | fish swarm algorithm BP neural network electric power customer satisfaction comprehensive evaluation |
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