Application of Vanilla Long Short-Term Memory Networks (LSTM) and Auto-Regressive Integrated Moving Average (ARIMA) on exchange rate forecasting / Mysarah Haslan and Nor Hayati Shafii
Predicting foreign exchange rates is a difficult task in the area of financial forecasting. Changes in exchange rate affected the country’s rate of economic growth. There are a lot of forecasting models used in order to predict the future value of the exchange rate. This study aims to determine the...
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| Main Authors: | , |
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| Format: | Book Section |
| Language: | English |
| Published: |
College of Computing, Informatics and Media, UiTM Perlis
2023
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/100773/1/100773.pdf https://ir.uitm.edu.my/id/eprint/100773/ |
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