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Author:

Bo, Ying-Chun (Bo, Ying-Chun.) | Qiao, Jun-Fei (Qiao, Jun-Fei.) (Scholars:乔俊飞) | Zhang, Zhao-Zhao (Zhang, Zhao-Zhao.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

For the problems of complex structure design and hard parameters selection on echo state network (ESN) frame, this paper proposes a structure design method of dynamic neurons reservoir (DNR) with the small world structure (SWESN). Design method of SWESN is introduced in detail. Neurons space growth algorithm is used to generate network with small world topology structure on 2-D plane. Then the neurons are rearranged by Euclidean distance from network's nodes to the fiducial node, and the physical nodes of the plane region and their internal connections are mapped to the connection matrixes of ESN internal neurons. This design method makes the DNR have small world property. The simulation experiments show that, the proposed ESN can create more abundant dynamic behavior than conventional ESN, and both robustness and anti-interference ability of SWESN are better than that of conventional ESN.

Keyword:

Design Neurons

Author Community:

  • [ 1 ] [Bo, Ying-Chun]College of Electronic and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Qiao, Jun-Fei]College of Electronic and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Zhang, Zhao-Zhao]College of Electronic and Control Engineering, Beijing University of Technology, Beijing 100124, China

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Source :

Control and Decision

ISSN: 1001-0920

Year: 2012

Issue: 3

Volume: 27

Page: 383-388

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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