Statistical characterization and optimization of artificial neural networks in time series forecasting: the one-period forecast case

Time series forecasting is an active area for the application of Artificial Neural Networks (ANNs). Although the selection of an ANN has been greatly simplified, it remains a challenge to adequately determine the ANN’s parameters. In this work a method based on statistical analysis and optimization...

Descrizione completa

Dettagli Bibliografici

Pubblicato in:	Computación y Sistemas
Autori principali:	María Angélica Salazar Aguilar, Guillermo J. Moreno Rodríguez, Mauricio Cabrera-Ríos
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Instituto Politécnico Nacional 2006
Soggetti:	Computación
Accesso online:	https://www.redalyc.org/articulo.oa?id=61501106
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!