Combine holts winter and support vector machines in forecasting time series
This study proposes on a combine methodology that exploits the Holts- Winter (HW) model and the Support Vector Machines (SVM) model in forecasting time series. Problems of forecasting using time series data have been and still being addressed at every sphere of research using different approaches. T...
Saved in:
主要作者: | Salisu, Alfa Mohammed |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2013
|
主題: | |
在線閱讀: | http://eprints.utm.my/id/eprint/47917/25/AlfaMohammedSalisuMFS2013.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Combine holts winter and support vector machines in forecasting time serie
由: Alfa, Mohammed Salisu
出版: (2013) -
Combined forecast model involving wavelet-group methods of data handling for drought forecasting
由: Mohammed Salisu, Alfa
出版: (2021) -
Genetic algorithm approach in improving winter's method of forecasting
由: Mohmad Kahar, Mohd. Nizam
出版: (2002) -
Support vector machines based methods for time series forecasting /
由: Cao, Lijuan
出版: (2002) -
Forecasting revenue passenger enplanements using wavelet-support vector machine
由: Zainuddin, Mohamad Aiman
出版: (2015)