电子学报2011，Vol.39Issue(z1)：14-18,5.
基于相应簇回声状态网络静态分类方法
Echo State Networks for Static Classification with Corresponding Clusters
摘要
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 proposed method outperforms the original echo state networks.关键词
回声状态网络/时间窗/模拟电路故障诊断Key words
echo state networks/time windows/analog circuit fault diagnosis分类
信息技术与安全科学引用本文复制引用
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):14-18,5.基金项目
教育部高等学校博士学科点专项科研基金(No.20092302110013) （No.20092302110013）
教育部新世纪优秀人才支持计划(No.NCET-10-0062) （No.NCET-10-0062）
