Application of Entropy Ensemble Filter in Neural Network Forecasts of Tropical Pacific Sea Surface Temperatures

Application of Entropy Ensemble Filter in Neural Network Forecasts of Tropical Pacific Sea Surface Temperatures

Recently, the Entropy Ensemble Filter (EEF) method was proposed to mitigate the computational cost of the Bootstrap AGGregatING (bagging) method. This method uses the most informative training data sets in the model ensemble rather than all ensemble members created by the conventional bagging. In th...

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Bibliographic Details
Main Authors: Hossein Foroozand, Valentina Radić, Steven V. Weijs
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Entropy
Subjects:
entropy ensemble filter
ensemble model simulation criterion
EEF method
bootstrap aggregating
bagging
bootstrap neural networks
El Niño
ENSO
neural network forecast
sea surface temperature
tropical Pacific
Online Access:http://www.mdpi.com/1099-4300/20/3/207

Internet

http://www.mdpi.com/1099-4300/20/3/207

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