Sunspots Time-series Prediction Based on EMD and Combination Model
[1]ZENG Qingshan,ZHANG Xiaonan.Sunspots Time-series Prediction Based on EMD and Combination Model[J].Journal of Zhengzhou University (Engineering Science),2014,35(03):78-82.[doi:10 3969/jissn.1671 -6833.2014.03.019]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
35卷
Number of periods:
2014 03
Page number:
78-82
Column:
Public date:
2014-06-30
- Title:
- Sunspots Time-series Prediction Based on EMD and Combination Model
- Keywords:
- sunspot; combination model; EMD decomposition ; forecasting
- CLC:
- TP391
- DOI:
- 10 3969/jissn.1671 -6833.2014.03.019
- Abstract:
- Sunspots are non-linear, non-stationary, multi-seale changes time-series, and the observations wereofen interfered by noise. Aeeorling to the eomplexity of sunspots time-series prediction , first of all, this paperpreprocessed the original data through wavelet de-noising method, then the denoised signal was deeomposedinto several lMF components and remainder by EMD. In view of the charaeteristies of the low frequeney andhigh frequeney components, RBF neural network model and SVM model were used to prediet them respeetive.ly, the final predicted value would be got by adding each component’s result at last. The simulation resultsshow that this model has higher prediclion accuracy.
- References:
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