Time series prediction using artificial neural networks
In this work, artificial neural network (ANN) algorithms were used to predict time series of the oceanographic variables Southern Oscilation Index (SOI) and sea surface temperature anomaly (SSTA). The finite impulse response neural network (FIRNN) was applied to data obtained from the NOAA. In ord...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Autónoma de Baja California
2002-03-01
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| Series: | Ciencias Marinas |
| Subjects: | |
| Online Access: | https://www.cienciasmarinas.com.mx/index.php/cmarinas/article/view/205 |