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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...
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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