Application of Spectrum Data Management Based on Bayesian Network
نویسنده
چکیده
In the spectral data management, under different regions and different time, spectral data is very big, resulting in the spectrum management would be difficult, this article based on Bayesian network of depth neural networks, aiming at the characteristics of spectrum management, studying the spectrum historical data, and according to the results to forecast spectrum occupancy, in order to achieve the spectrum management, the experimental results compared the spectrum of predictions and reality, and verified the effectiveness of the algorithm.
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