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作者:

Jiang, Zong-Li (Jiang, Zong-Li.) (学者:蒋宗礼) | Xu, Guang-Jun (Xu, Guang-Jun.)

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摘要:

In this paper, the neural network of self-organizing map is used to overcome the tie tree drawback, which is a serious problem in traditional phylogenetic tree reconstruction, and improve the preciseness of phylogenetic tree. The multifurcating tree is also reconstructed to replace the role of traditional binary tree, so that the system evolution be displayed more precisely. By giving proper parameters, the arrangement and sequence cluster can be optimized. The experiments indicate that this method is effective.

关键词:

Algorithms Artificial intelligence Neural networks Self organizing maps Trees (mathematics)

作者机构:

  • [ 1 ] [Jiang, Zong-Li]College of Computer Science, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Xu, Guang-Jun]College of Computer Science, Beijing University of Technology, Beijing 100022, China

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来源 :

Journal of Harbin Engineering University

ISSN: 1006-7043

年份: 2006

期: SUPPL.

卷: 27

页码: 27-31

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WoS核心集被引频次: 0

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