Modification of the LSTM Model in Time Series Data Prediction
Accurate stock price forecasting is crucial in supporting investment decision-making, especially during stock price fluctuations. This research aims to improve the accuracy of stock price prediction on time series data through modification of the Long Short-Term Memory (LSTM) model. The modification...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Udayana University, Institute for Research and Community Services
2025-06-01
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| Series: | Lontar Komputer |
| Online Access: | https://ojs.unud.ac.id/index.php/lontar/article/view/120115 |
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