A New Methodology for Neural Network Training Ensures Error Reduction in Time Series Forecasting
Artificial Neural Networks (ANN) consists of some components, such as architecture and learning algorithm. These components have a significant effect on the performance of the ANN, but finding good parameters is a difficult task to achieve. An important requirement for this task is to ensure the red...
- Autores:
-
Sánchez-Sánchez, Paola A.
García-González, José Rafael
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/1735
- Acceso en línea:
- http://hdl.handle.net/20.500.12442/1735
- Palabra clave:
- Artificial Neural Networks (ANN)
Time Series Forecasting
Learning Algorithms
Error Reduction
- Rights
- License
- http://purl.org/coar/access_right/c_abf2