期刊
PROGRAMMING AND COMPUTER SOFTWARE
卷 42, 期 3, 页码 121-128出版社
PLEIADES PUBLISHING INC
DOI: 10.1134/S0361768816030026
关键词
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资金
- Ministry of Education and Science of the Russian Federation [14.604.21.0011 (RFMEFI60414X0011)]
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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