Results 281 to 290 of about 577,646 (335)
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IFAC Proceedings Volumes, 2008
Abstract The application of the Industrial Ethernet brings up issues of both the reliability and behaviour of the networks under a demanded load, while preserving the permitted time delay in the whole network. We propose an algorithm that designs the network topology, which meets the required fault tolerance and allows reliable communication between ...
Tomas Fencl, Pavel Burget, Jan Bilek
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Abstract The application of the Industrial Ethernet brings up issues of both the reliability and behaviour of the networks under a demanded load, while preserving the permitted time delay in the whole network. We propose an algorithm that designs the network topology, which meets the required fault tolerance and allows reliable communication between ...
Tomas Fencl, Pavel Burget, Jan Bilek
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2019
Networks are a convenient and powerful tool for modeling many real world processes, crossing different industrial, sociological and scientific areas, that exhibit some sort of interaction, called edge or link, between different target entities, called nodes.
Giuseppe Manco +2 more
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Networks are a convenient and powerful tool for modeling many real world processes, crossing different industrial, sociological and scientific areas, that exhibit some sort of interaction, called edge or link, between different target entities, called nodes.
Giuseppe Manco +2 more
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Topologically Interpenetrating Elastometric Networks
Rubber Chemistry and Technology, 1970Abstract Several partially interpenetrating polymeric networks (IPN) were made by combining chemically different linear elastomers. The polymer combinations were deposited as films from aqueous emulsions made by mixing the individual emulsions in equal proportions. The films were crosslinked to form two superimposed networks.
Daniel Klempner +2 more
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Topological energy of networks
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023Energy is an important network indicator defined by the eigenvalues of an adjacency matrix that includes the neighbor information for each node. This article expands the definition of network energy to include higher-order information between nodes. We use resistance distances to characterize the distances between nodes and order complexes to extract ...
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Estimating Topology of Networks
Physical Review Letters, 2006We suggest a method for estimating the topology of a network based on the dynamical evolution supported on the network. Our method is robust and can be also applied when disturbances and/or modeling errors are presented. Several examples with networks of phase oscillators, pulse-coupled Hindmarch-Rose neurons, and Lorenz oscillators are provided to ...
DONGCHUAN YU +2 more
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Dynamic topology representing networks
Neural Networks, 2000In the present paper, we propose a new algorithm, namely the Dynamic Topology Representing Networks (DTRN) for learning both topology and clustering information from input data. In contrast to other models with adaptive architecture of this kind, the DTRN algorithm adaptively grows the number of output nodes by applying a vigilance test. The clustering
J, Si, S, Lin, M A, Vuong
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Topology representing networks
Neural Networks, 1994Abstract A Hebbian adaptation rule with winner-take-all like competition is introduced. It is shown that this competitive Hebbian rule forms so-called Delaunay triangulations, which play an important role in computational geometry for efficiently solving proximity problems.
Thomas Martinetz, Klaus Schulten
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