DocumentCode
564099
Title
ART networks as flexible means to implement dependability properties in autonomous systems
Author
Grosspietsch, K.-E. ; Silayeva, Tanya A.
Author_Institution
EUROMICRO, St. Augustin, Germany
fYear
2012
fDate
28-29 Feb. 2012
Firstpage
1
Lastpage
5
Abstract
In this paper, the potential of adaptive resonance theory (ART) networks for dependability issues is considered. The basic properties of ART architectures are described, and some strategies are discussed to enable a balanced combination of performance and dependability requirements by these networks.
Keywords
ART neural nets; ART architecture; ART network; adaptive resonance theory network; autonomous system; dependability properties; dependability requirement; Adaptive systems; Biological neural networks; Indium phosphide; Neurons; Robots; Subspace constraints; Vectors; Neural Nets; adaptive resonancde vtheory; autonomous systems; unsupervised learning;
fLanguage
English
Publisher
ieee
Conference_Titel
ARCS Workshops (ARCS), 2012
Conference_Location
Muenchen
Print_ISBN
978-1-4673-1913-3
Electronic_ISBN
978-3-88579-294-9
Type
conf
Filename
6222223
Link To Document