Assessment of Ice Shape Roughness Using a Self-Orgainizing Map Approach

Self-organizing maps are neural-network techniques for representing noisy, multidimensional data aligned along a lower-dimensional and nonlinear manifold. For a large set of noisy data, each element of a finite set of codebook vectors is iteratively moved in the direction of the data closest to the...

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Bibliographische Detailangaben
Hauptverfasser: Mcclain, Stephen T., Kreeger, Richard E.
Format: Tagungsbericht
Sprache:eng
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