Adaptive methodology based on computational intelligence for time series modeling
Time series processes are important in several sectors like marketing, transport, energy, telecommunications, etc. Time series forecasting tasks can help in operative and strategic tasks. Several conventional and non-conventional techniques as ARIMA models, artificial neural networks (ANN), support...
- Autores:
-
Jiménez Mares, Jamer René
- Tipo de recurso:
- Doctoral thesis
- Fecha de publicación:
- 2021
- Institución:
- Universidad del Norte
- Repositorio:
- Repositorio Uninorte
- Idioma:
- eng
- OAI Identifier:
- oai:manglar.uninorte.edu.co:10584/10818
- Acceso en línea:
- http://hdl.handle.net/10584/10818
- Palabra clave:
- Inteligencia computacional
Análisis de series de tiempo
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by/4.0/