Hybridization of nonlinear and linear models for time series forecasting
Nowadays, time series forecasting is very challenging due to the uncertainties of real world events that are influenced by many indefinite factors and rapid changes. This scenario requires forecasting methods that work efficiently with incomplete and multivariate data. Otherwise, the solutions will...
Saved in:
主要作者: | |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2010
|
主題: | |
在線閱讀: | http://eprints.utm.my/id/eprint/18768/1/HamisanSalimMFP2010.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
成為第一個發表評論!