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Применение искусственных нейронных сетей с целью прогнозирования характеристик распространения радиосигнала

Применение искусственных нейронных сетей с целью прогнозирования характеристик распространения радиосигнала

Abstract

Рассмотрена возможность применения искусственных нейронных сетей с целью прогнозирования потерь при распространении электромагнитных волн, определения статистических параметров: стандартное отклонение уровня сигнала, вероятность покрытия площади и превышения порогового уровня. Созданы нейронные сети для прогнозирования таких параметров. Оценена их точность.

Possibility of artificial neural networks application in purpose of propagation loss prediction and defining of statistics parameters: standard deviation of signal level, probability of area coverage and probability of exceeding of threshold is examined. Neural networks were created for prediction of these parameters. Performed accuracy is estimated.

Keywords

ИСКУССТВЕННЫЕ НЕЙРОННЫЕ СЕТИ, ОЦЕНКА ПАРАМЕТРОВ, МОДЕЛИ РАСПРОСТРАНЕНИЯ РАДИОВОЛН

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average