Modular Neural Network in the Cloud
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F15%3AA1701EKG" target="_blank" >RIV/61988987:17610/15:A1701EKG - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Modular Neural Network in the Cloud
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics
ISBN
978-1-4799-9911-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
553-557
Publisher name
IEEE
Place of publication
New York
Event location
Timisoara, Romania
Event date
May 21, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000380397800099