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作者:

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

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摘要:

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.

关键词:

Computation theory Structural optimization

作者机构:

  • [ 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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来源 :

Control Theory and Applications

ISSN: 1000-8152

年份: 2010

期: 3

卷: 27

页码: 350-357

被引次数:

WoS核心集被引频次: 0

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