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作者:

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

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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. © 2015 Technical Committee on Control Theory, Chinese Association of Automation.

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作者机构:

  • [ 1 ] [Li, Dingyuan]College of Communication Engineering, Jilin University, Changchun, China
  • [ 2 ] [Li, Dingyuan]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 3 ] [Liu, Fu]College of Communication Engineering, Jilin University, Changchun, China
  • [ 4 ] [Qiao, Junfei]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

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来源 :

ISSN: 1934-1768

年份: 2015

卷: 2015-September

页码: 2129-2133

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

近30日浏览量: 2

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