Smoothing Strategies Combined with ARIMA and Neural Networks to Improve the Forecasting of Traffic Accidents

Two smoothing strategies combined with autoregressive integrated moving average (ARIMA) and autoregressive neural networks (ANNs) models to improve the forecasting of time series are presented. The strategy of forecasting is implemented using two stages. In the first stage the time series is smoothe...

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Detalles Bibliográficos
Autores principales: Barba, Lida, Rodríguez, Nibaldo, Montt, Cecilia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4163352/
https://www.ncbi.nlm.nih.gov/pubmed/25243200
http://dx.doi.org/10.1155/2014/152375

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4163352/
https://www.ncbi.nlm.nih.gov/pubmed/25243200
http://dx.doi.org/10.1155/2014/152375

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