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Author:

Qiao, Jun-Fei (Qiao, Jun-Fei.) (Scholars:乔俊飞) | Han, Hong-Gui (Han, Hong-Gui.) (Scholars:韩红桂)

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EI Scopus PKU CSCD

Abstract:

The influence of the structure design to the capabilities of neural networks is discussed in this paper. The development history of the dynamic structure neural networks, especially the growing and the pruning neural networks are introduced. The substantial results on the computing capabilities, learning theories, stability of neural networks are then analyzed. Finally, the research on the dynamic optimization structure design is summarized and several views are put forward.

Keyword:

Structural optimization Computation theory

Author Community:

  • [ 1 ] [Qiao, Jun-Fei]College of Electronic and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Han, Hong-Gui]College of Electronic and Control Engineering, Beijing University of Technology, Beijing 100124, China

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Source :

Control Theory and Applications

ISSN: 1000-8152

Year: 2010

Issue: 3

Volume: 27

Page: 350-357

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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