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
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;
Conference_Titel :
ARCS Workshops (ARCS), 2012
Conference_Location :
Muenchen
Print_ISBN :
978-1-4673-1913-3
Electronic_ISBN :
978-3-88579-294-9
