Determining the impact of window length on time series forecasting using deep learning
Time series forecasting is a method of predicting the future based on previous observations. It depends on the values of the same variable, but at different time periods. To date, various models have been used in stock market time series forecasting, in particular using deep learning models. However...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
ACCENTS
2019
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/26893/1/IJACR%209%2044%202019%20260%20267.pdf http://repo.uum.edu.my/26893/ http://doi.org/10.19101/IJACR.PID77 |
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| Institution: | Universiti Utara Malaysia |
| Language: | English |