Autoregressive Moving Average Recurrent Neural Networks Applied to the Modelling of Colombian Exchange Rate
Modeling and prediction of time series has required in recent times a lot of attention, due to the necessity to have to make with accurate tools a right decision and to surpass theoretical, conceptual and practical limitations of the traditional approaches. In this sense, the neural networks have de...
- Autores:
-
Sánchez-Sánchez, Paola Andrea
García-González, José Rafael
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/2384
- Acceso en línea:
- http://hdl.handle.net/20.500.12442/2384
- Palabra clave:
- Recurrent neural networks
Autoregressive moving average recurrent neural networks
Autoregressive integrated moving average models
Colombian exchange rate, time series, forecasting
- Rights
- License
- Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional