Intelligent Communication Networks and Neural Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25368061%3A_____%2F13%3A00000003" target="_blank" >RIV/25368061:_____/13:00000003 - isvavai.cz</a>
Result on the web
<a href="http://www.cekinfo.org.uk" target="_blank" >http://www.cekinfo.org.uk</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Intelligent Communication Networks and Neural Network
Original language description
The term network intelligence is widely used in the field of communication security network. Many intelligent systems focus on a specific service, function, or device, and do not provide true end-to-end service network intelligence. True network intelligence requires more than a set of disconnected elements, it requires an interconnecting and functionally coupled architecture that enables the various functional levels to interact and communicate with each other. Mobility models describe a mobile unit?smovement through a geographical area. System in which we assume basic usage must allow two-way interactivity - duplex communication. Model such communication may be all sorts of method. A neural network (NN). in the case of artificial neurons called artificial neural network (ANN) or simulated neural network (SNN), is an interconnected group of natural or artificial neurons that uses a mathematical or computational model for information processing based on a connections approach to compu
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
European International Journal of Science and Technology
ISSN
2304-9693
e-ISSN
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Volume of the periodical
2
Issue of the periodical within the volume
6/July 2013
Country of publishing house
GB - UNITED KINGDOM
Number of pages
12
Pages from-to
29-40
UT code for WoS article
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EID of the result in the Scopus database
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