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作者:

Li Dingyuan (Li Dingyuan.) | Liu Fu (Liu Fu.) | Qiao Junfei (Qiao Junfei.) (学者:乔俊飞)

收录:

CPCI-S

摘要:

Aim to solve the problem of structure design about echo state network, a new type of ESN with hierarchical modular structure (HMESN) is proposed in this paper. The hierarchical connections are introduced into reservoir of HMESN, and each level of neurons are modular structure. The structure of HMESN is closer to the hierarchical modular topology characteristics of brain networks, which effectively enhances the dynamics of internal neurons. Finally, the HMESN is used for the Mackey-Glass time series prediction and the sewage treatment modeling. Experimental results and the performance comparison demonstrate that the prediction accuracy of the proposed HMESN is better than those of ESN.

关键词:

dynamic reservoir Echo state network sewage treatment modeling

作者机构:

  • [ 1 ] [Li Dingyuan]Jilin Univ, Coll Commun Engn, Changchun 130022, Peoples R China
  • [ 2 ] [Liu Fu]Jilin Univ, Coll Commun Engn, Changchun 130022, Peoples R China
  • [ 3 ] [Li Dingyuan]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Qiao Junfei]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China

通讯作者信息:

  • [Li Dingyuan]Jilin Univ, Coll Commun Engn, Changchun 130022, Peoples R China

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来源 :

2015 34TH CHINESE CONTROL CONFERENCE (CCC)

ISSN: 2161-2927

年份: 2015

页码: 2129-2133

语种: 英文

被引次数:

WoS核心集被引频次: 1

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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