Time series forecasting based on artificial intelligence algorithms and their application to economic and financial time series
The following work seeks to evaluate traditional methodologies of time series forecasting compared to the newest artificial intelligence algorithms. Economic and financial time series are used in order to evaluate the efectiveness of these procedures so that this has an economic and practical signif...
| Autor: | |
|---|---|
| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universitat Oberta de Catalunya (UOC) |
| Repositorio: | O2, repositorio institucional de la UOC |
| OAI Identifier: | oai:openaccess.uoc.edu:10609/119646 |
| Acceso en línea: | http://hdl.handle.net/10609/119646 |
| Access Level: | acceso abierto |
| Palabra clave: | neural networks forecasting time series redes neuronales pronósticos series de tiempo xarxes neuronals pronòstics sèries de temps Artificial intelligence -- TFM Intel·ligència artificial -- TFM Inteligencia artificial -- TFM |
| Sumario: | The following work seeks to evaluate traditional methodologies of time series forecasting compared to the newest artificial intelligence algorithms. Economic and financial time series are used in order to evaluate the efectiveness of these procedures so that this has an economic and practical significance. |
|---|