Title of article
Conformality in the self-organization network Original Research Article
Author/Authors
Cheng-Yuan Liou، نويسنده , , Wen-Pin Tai، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2000
Pages
22
From page
265
To page
286
Abstract
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.
Keywords
Conformality , Self-organization network , Data manifold , Deformation measure , Natural coordinate , Simplices , learning algorithm , Pattern recognition
Journal title
Artificial Intelligence
Serial Year
2000
Journal title
Artificial Intelligence
Record number
1206801
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