Neural-network-based adaptive sampling of three-dimensional-object surface elastic properties

TitleNeural-network-based adaptive sampling of three-dimensional-object surface elastic properties
Publication TypeJournal Article
Year of Publication2006
AuthorsCretu, A. - M., and E. M. Petriu
JournalInstrumentation and Measurement, IEEE Transactions on
Volume55
Pagination483 - 492
Date Publishedapr.
ISSN0018-9456
Keywords3D object surface, adaptive systems, elasticity, Kohonen self-organizing map, neural-gas network, neural-network-based adaptive sampling, nonuniform elastic properties, probing points, robot tactile systems, self-organising feature maps, self-organizing neural-network architectures, signal sampling
Abstract

The paper discusses an adaptive-sampling technique for dimensionality reduction of the set of probing points in the measurement of nonuniform elastic properties of three-dimensional (3-D) objects. Two self-organizing neural-network architectures are compared for this purpose: the neural-gas network and the Kohonen self-organizing map (SOM).

URLhttp://dx.doi.org/10.1109/TIM.2006.870114
DOI10.1109/TIM.2006.870114

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