DocumentCode
876331
Title
Neural-network-based adaptive sampling of three-dimensional-object surface elastic properties
Author
Cretu, Ana-Maria ; Petriu, Emil M.
Author_Institution
Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Canada
Volume
55
Issue
2
fYear
2006
fDate
4/1/2006 12:00:00 AM
Firstpage
483
Lastpage
492
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).
Keywords
adaptive systems; elasticity; self-organising feature maps; signal sampling; 3D object surface; Kohonen self-organizing map; adaptive systems; neural-gas network; neural-network-based adaptive sampling; nonuniform elastic properties; probing points; robot tactile systems; self-organizing neural-network architectures; Application software; Computer aided manufacturing; Design automation; Elasticity; Industrial training; Information technology; Probes; Robotic assembly; Robots; Sampling methods; Adaptive systems; neural-network applications; robot tactile systems; self-organizing feature maps; topology;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/TIM.2006.870114
Filename
1608592
Link To Document