The use of artificial neural networks for classification of signal sources in cognitive radio systems
Publication type: Journal Article
Publication date: 2016-04-01
scimago Q4
wos Q4
SJR: 0.212
CiteScore: 1.3
Impact factor: 0.5
ISSN: 03617688, 16083261
Software
Abstract
In the paper, methods of classification of signal sources in cognitive radio systems that are based on artificial neural networks are discussed. A novel method for improving noise immunity of RBF networks is suggested. It is based on introducing an additional self-organizing layer of neurons, which ensures automatic selection of variances of basis functions and a significant reduction of the network dimension. It is shown that the use of auto-associative networks in the problem of the classification of sources of signals makes it possible to minimize the feature space without significant deterioration of its separation properties.
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Total citations:
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Citations from 2024:
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GOST
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Adjemov S. S. et al. The use of artificial neural networks for classification of signal sources in cognitive radio systems // Programming and Computer Software. 2016. Vol. 42. No. 3. pp. 121-128.
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Adjemov S. S., Klenov N. V., Tereshonok M. V., Chirov D. S. The use of artificial neural networks for classification of signal sources in cognitive radio systems // Programming and Computer Software. 2016. Vol. 42. No. 3. pp. 121-128.
Cite this
RIS
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TY - JOUR
DO - 10.1134/S0361768816030026
UR - https://doi.org/10.1134/S0361768816030026
TI - The use of artificial neural networks for classification of signal sources in cognitive radio systems
T2 - Programming and Computer Software
AU - Adjemov, S S
AU - Klenov, N V
AU - Tereshonok, M V
AU - Chirov, D S
PY - 2016
DA - 2016/04/01
PB - Pleiades Publishing
SP - 121-128
IS - 3
VL - 42
SN - 0361-7688
SN - 1608-3261
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2016_Adjemov,
author = {S S Adjemov and N V Klenov and M V Tereshonok and D S Chirov},
title = {The use of artificial neural networks for classification of signal sources in cognitive radio systems},
journal = {Programming and Computer Software},
year = {2016},
volume = {42},
publisher = {Pleiades Publishing},
month = {apr},
url = {https://doi.org/10.1134/S0361768816030026},
number = {3},
pages = {121--128},
doi = {10.1134/S0361768816030026}
}
Cite this
MLA
Copy
Adjemov, S. S., et al. “The use of artificial neural networks for classification of signal sources in cognitive radio systems.” Programming and Computer Software, vol. 42, no. 3, Apr. 2016, pp. 121-128. https://doi.org/10.1134/S0361768816030026.
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