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In recent years, new energy's exploitation is becoming more and more important, one type of the new energy is gas bearing in the coal layers. Forecasting for coal-seam gas content is a complicated non-linear forecasting problem, which is difficult to solve. A prediction model of coal-seam gas capacity based on support vector regression and ant colony optimization is presented in this paper. As there...
As the first step in the basic cognitive cycle, spectrum sensing is a vital part of cognitive radio to become reliant and swift. And due to excellent detection performance, cooperative spectrum sensing has been applied more and more frequently. However, in cooperative spectrum sensing, the detection results of the secondary users (SUs) have a great degree of uncertainty. In this paper, in order to...
In the whole working cycle of cognitive radio (CR), the primary job is to sense wireless communication environment of secondary users (SUs), therefore, spectrum sensing is the foundation and prerequisite for the application of CR. In order to get excellent detection performance, cooperative spectrum sensing has been applied widely. However, in cooperative spectrum sensing process, the detection results...
In this paper, artificial neural network is combined with wavelet analysis for the forecast of solar irradiance. This method is characteristic of the preprocessing of sample data using wavelet transformation for the forecast, i.e., the data sequence of solar irradiance as the sample is first mapped into several time-frequency domains, and then a chaos optimization neural network is established for...
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