Predication of Gas Emission Based on Wavelet Multi-resolution Analysis
Gas emission is basically non-stationary time series,Based on this view,wavelet multi-resolution analysis was applied to the predication of gas emission.Firstly,the gas emission data was decomposed by wavelet multi-resolution analysis.Secondly,the single branch reconstruction of each layer was predicted by establishing AR forecasting model.Synthesized all of the results from every layers,the forecasting result was obtained.The simulation showed that predication for mine gas emission with the method of this paper has much higher accuracy than AR model forecasting model.
wavelet multi-resolution analysis gas emission time series AR model Mallat algorithm Predication decomposition reconstruction
Baoming Qiao Qiao Kang
Department of Applied Mathematics, Xian University of Science and Technology XUST Xian China
国际会议
太原
英文
115-118
2013-04-06（万方平台首次上网日期，不代表论文的发表时间）