An Autoregressive Integrated Moving Average Model Based on Genetic Algorithm
碩士 === 國立交通大學 === 資訊管理研究所 === 104 === Time series forecasting plays an important role in making future decision. The autoregressive integrated moving average (ARIMA) is one of most popular time series forecasting models, but it still can be improved to obtain better accuracy. This thesis proposes an...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/ummfn2 |