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Growing a hypercubical output space in a self-organizing feature map.

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Bibliographic Details
Title: Growing a hypercubical output space in a self-organizing feature map.
Authors: Bauer, Hans-Ulrich, Villmann, Thomas
Source: IEEE Transactions on Neural Networks. Mar97, Vol. 8 Issue 2, p218. 9p. 6 Diagrams, 1 Chart, 9 Graphs.
Subjects: MAP (Computer program language), Algorithms
Abstract: Presents the growing self-organizing map (GSOM) which enhances a widespread map self-organization processes and Kohonen's self-organizing feature map (SOFM), by an adaptation of the output space grid during learning. Kohonen algorithm for self-organizing feature maps; GSOM-algorithm for maps with hypercubical output spaces; Examples of maps; Discussion of the study.
Database: Engineering Source
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  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 9704046274
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Growing a hypercubical output space in a self-organizing feature map.
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  Data: <searchLink fieldCode="AR" term="%22Bauer%2C+Hans-Ulrich%22">Bauer, Hans-Ulrich</searchLink><br /><searchLink fieldCode="AR" term="%22Villmann%2C+Thomas%22">Villmann, Thomas</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Neural+Networks%22">IEEE Transactions on Neural Networks</searchLink>. Mar97, Vol. 8 Issue 2, p218. 9p. 6 Diagrams, 1 Chart, 9 Graphs.
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  Data: Presents the growing self-organizing map (GSOM) which enhances a widespread map self-organization processes and Kohonen's self-organizing feature map (SOFM), by an adaptation of the output space grid during learning. Kohonen algorithm for self-organizing feature maps; GSOM-algorithm for maps with hypercubical output spaces; Examples of maps; Discussion of the study.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=9704046274
RecordInfo BibRecord:
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    Identifiers:
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        Value: 10.1109/72.557659
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 218
    Subjects:
      – SubjectFull: MAP (Computer program language)
        Type: general
      – SubjectFull: Algorithms
        Type: general
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      – TitleFull: Growing a hypercubical output space in a self-organizing feature map.
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            NameFull: Bauer, Hans-Ulrich
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            NameFull: Villmann, Thomas
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            – D: 01
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              Text: Mar97
              Type: published
              Y: 1997
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              Value: 8
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              Value: 2
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            – TitleFull: IEEE Transactions on Neural Networks
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