A comparison of two deep learning models on the stock exchange predictions.
In this study, we introduce the deep learning approach for the time series forecasting model, particularly for the stock price prediction, using two popular deep learning methods: the long short-term memory (LSTM) networks and the gated recurrent unit (GRU) networks. The data are collected from comp...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Al-Zaytoonah University of Jordan
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/105453/ http://www.i-csrs.org/Volumes/ijasca/IJASCA.230720.15.pdf |
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