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文章基本信息

  • 标题:One-variable Interpolation Function Based on Functional Networks
  • 作者:Yong-Quan Zhou ; Li-Cheng Jiao
  • 期刊名称:International Journal of Information Technology
  • 印刷版ISSN:1305-239X
  • 电子版ISSN:1305-2403
  • 出版年度:2006
  • 卷号:12
  • 期号:02
  • 出版社:World Enformatika Society
  • 摘要:

    In this paper, the interpolation mechanism of functional networks is discussed. A kind of fourlayer
    (with 1 input and 1 output unit) and a five-layer (with double input and single output unit)
    functional network are designed. Meanwhile, a learning algorithm based on Minimizing a least
    squares error function with a unique minimum has been proposed for the purpose of
    approximating function. Experimental results indicate that the interpolation method is
    completely correct.ÿ ['˜
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