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Publikační činnost
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Record type:
stať ve sborníku (D)
Home Department:
Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:
Modular Neural Network in the Cloud
Citace
Žáček, J., Volná, E. a Janošek, M. Modular Neural Network in the Cloud.
In:
SACI 2015 - 10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics: IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics 2015-05-21 Timisoara, Romania.
New York: IEEE, 2015. s. 553-557. ISBN 978-1-4799-9911-8.
Subtitle
Publication year:
2015
Obor:
Informatika
Number of pages:
5
Page from:
553
Page to:
557
Form of publication:
Tištená verze
ISBN code:
978-1-4799-9911-8
ISSN code:
Proceedings title:
IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics
Proceedings:
Mezinárodní
Publisher name:
IEEE
Place of publishing:
New York
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
SACI 2015 - 10th Jubilee IEEE International Symposium on Applied Computational Intelligence and Informatics
Místo konání konference:
Timisoara, Romania
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
000380397800099
EID:
2-s2.0-84959288198
Key words in English:
Cloud computing; Computer architecture; Network topology; Neural networks; Robot sensing systems; Topology
Annotation in original language:
The paper proposes a new approach to implement common neural network algorithms in the cloud. First part of the paper defines the context and describes a usage of cloud computing concept in the robotics. Next part describes layers of the typical cloud service and shows the connection between cloud and legacy robot. Then we introduce a modular neural network concept and explain the topology of the neural network and connection between the physical and the logical architecture. Following part proposes a new architecture of the cloud service that implements a neural network algorithm. Last part shows a case study migration of the typical neural network topology into the cloud with respect to logical and physical topology.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17610/15:A1701EKG
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