| 基于相应簇回声状态网络静态分类方法 |
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| 引用本文： | 郭嘉,雷苗,彭喜元.基于相应簇回声状态网络静态分类方法[J].电子学报,2011,39(Z1):14-18. |
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| 作者姓名： | 郭嘉 雷苗 彭喜元 |
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| 作者单位： | 哈尔滨工业大学自动化测试与控制研究所,黑龙江哈尔滨,150080 |
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| 基金项目： | 教育部高等学校博士学科点专项科研基金，教育部新世纪优秀人才支持计划 |
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| 摘 要： | 借鉴模仿哺乳动物大脑皮层分簇结构的复杂网络拓扑结构,提出一种基于相应簇储备池回声状态网络的分类方法.将时间窗函数机制引入到回声状态网络储备池的构建中,利用具体问题中需分类数据的类别数量,生成具有对应分簇数目的储备池,以期提高分类精度.基于标准数据集和模拟电路故障诊断的实验验证结果表明,本文方法与标准回声状态网络等方法相...
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| 关 键 词： | 回声状态网络 时间窗 模拟电路故障诊断 |
Echo State Networks for Static Classification with Corresponding Clusters |
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| GUO Jia,LEI Miao,PENG Xi-yuan.Echo State Networks for Static Classification with Corresponding Clusters[J].Acta Electronica Sinica,2011,39(Z1):14-18. |
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| Authors: | GUO Jia LEI Miao PENG Xi-yuan |
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| Affiliation: | GUO Jia,LEI Miao,PENG Xi-yuan(Automatic Test and Control Institute,Harbin Institute of Technology,Harbin,Heilongjiang 150080,China) |
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| Abstract: | A classification method using echo state networks(ESNs) with corresponding clusters is proposed,which is inspired by complex network topologies imitating cortical networks of the mammalian brain.The time windows functions are adopted to construct multiple-cluster reservoir.The number of clusters corresponds with the number of classes in specific classification problems to improve the classification accuracy.Experimental results based on the standard datasets and analog circuit fault diagnosis show that the ... |
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| Keywords: | echo state networks time windows analog circuit fault diagnosis |
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