Conformality in the self-organization network

被引:10
|
作者
Liou, CY [1 ]
Tai, WP [1 ]
机构
[1] Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei 10636, Taiwan
关键词
conformality; self-oganization network; natural coordinate; data manifold; deformation measure; simplices; learning algorithm; pattern recognition;
D O I
10.1016/S0004-3702(99)00093-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The conformality of the self-organizing network is studied in this work. We use multi-dimensional deformation analyses to interpret the self-organizing mapping, It can be shown that this mapping is quasi-conformal with a convergent deformation bound. Based on analyses, a deformation measure and a non-conformality measure are derived to indicate the evolution status of the network. These measures can serve as new criteria to evolve the network. We test these measures with simulations on surface mapping problems. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:265 / 286
页数:22
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