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Author:

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

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Abstract:

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.

Keyword:

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

Author Community:

  • [ 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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Source :

Journal of Harbin Engineering University

ISSN: 1006-7043

Year: 2006

Issue: SUPPL.

Volume: 27

Page: 27-31

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: 1

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