The Use of LSTM Neural Networks to Implement the NARX Model. A Case Study of EUR-USD Exchange Rates
The paper focuses on financial data forecasting in terms of one-step-ahead nonlinear model with exogenous inputs. The main aim is the development of a methodology to forecast the exchange rate between EURO and US Dollar. The prediction task is carried out by two recurrent neural networks, the standa...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Inforec Association
2020-01-01
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| Series: | Informatică economică |
| Subjects: | |
| Online Access: | http://revistaie.ase.ro/content/93/01%20-%20cocianu,%20avramescu.pdf |