The Use of Artificial Neural Networks for Classification of Signal Sources in Cognitive Radio Systemsстатья
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Дата последнего поиска статьи во внешних источниках: 19 июля 2016 г.
Аннотация: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