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Titre
Unsupervised neural method for temperature forecasting
Autor(es)
Sujet
Computer Science
Fecha de publicación
1999
Éditeur
Elsevier BV
Citación
Artificial Intelligence in Engineering. Volumen 13 (4), pp. 351-357. Elsevier BV.
Resumen
This article presents the results of using a novel Negative Feedback Artificial Neural Network for extraction of models of the thermal structure of oceanographic water masses and to forecast time series in real time. The results obtained using this model are compared with those obtained using a Linear Regression and an ARIMA model. The article presents the Negative Feedback Artificial Neural Network, shows how it extracts the model behind the data set and discuses the Artificial Neural Network's forecasting abilities.
URI
ISSN
0954-1810 (Print)
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