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...

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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