請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/17095| 標題: | 增進時序資料預測效能之一般化模型 A General Framework for Enhancing Prediction Performance on Time Series Data |
| 作者: | Chin-Hui Chen 陳晉暉 |
| 指導教授: | 鄭卜壬 |
| 關鍵字: | 時序資料,時間序列,預測模型, Time Series Data,Time Series Prediction,Framework, |
| 出版年 : | 2013 |
| 學位: | 碩士 |
| 摘要: | Traditionally, researchers apply the latest data to predict the near future of Time Series Data prediction. However, we proposed a novel framework to use not only latest data but also potential accurate predicted results. And it also be able to predict much further results for enhancing the prediction. The framework adopts generic predict methods and extract specific features ac- cording to the data property. Three type of feature sets are designed to capture the Statistic, Reliability and Periodicity of the Time Series Data. Short-Term and Long-Term Prediction Enhancement algorithms are also introduced to im- prove the prediction performance. The experiments show that Short-Term En- hancement increases the accuracy of +20.04% and Long-Term Enhancement +9.59% compared to well-known baseline approaches, ARIMA and HW-ES. |
| URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/17095 |
| 全文授權: | 未授權 |
| 顯示於系所單位： | 資訊工程學系 |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-102-1.pdf 未授權公開取用 | 1.82 MB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。