A Hybrid Extended Kalman Filter Based on a Parametrized FeedForward Neural Network for the Improvement of the Results of Numerical Wave Prediction Models

A Hybrid Extended Kalman Filter Based on a Parametrized FeedForward Neural Network for the Improvement of the Results of Numerical Wave Prediction Models

Aiming to develop a novel optimization model for numerical weather and wave predictions, this study proposes a hybrid approach based on the combination of Artificial Neural Networks (ANNs) and Kalman Filters (KFs). The KF technique uses fixed covariance matrices, which is inappropriate for dynamic c...

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Bibliographic Details
Main Authors: Athanasios Donas, George Galanis, Ioannis Th. Famelis
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Environmental Sciences Proceedings
Subjects:
optimization of numerical forecasts
extended Kalman filter
feedforward neural networks
WAM-cycle 4
Online Access:https://www.mdpi.com/2673-4931/26/1/199

Internet

https://www.mdpi.com/2673-4931/26/1/199

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