Electronics Letters · 2005 · 10 citations · 3 references
ComputingComputer ScienceForecastingMachine LearningPropagationNeural NetworksShort-term ForecastingTime Series ForecastingTime Series PredictionMitigationNeural ForecastingNeural Network PredictionNeural Time Series ForecastingPropagation Prediction ModelsSatellite Communication Links
An adaptive linear neuron (ADALINE) approach to short-term prediction with application to fade mitigation control for satellite networks is presented and compared with four other short-term prediction methods. The neural network approach was found to be able to predict the underlying attenuation process the most accurately of the five methods, with few exceptions.
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