A Dual Filter Based on Radial Basis Function Neural Networks and Kalman Filters with Application to Numerical Wave Prediction Models

The aim of this study is to introduce and evaluate a dual filter that combines Radial Basis Function neural networks and Kalman filters to enhance the accuracy of numerical wave prediction models. Unlike the existing methods, which focus solely on systematic errors, the proposed framework concurrent...

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Автори:	Athanasios Donas, Ioannis Kordatos, Alex Alexandridis, George Galanis, Ioannis Th. Famelis
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2024-12-01
Серія:	Sensors
Предмети:	Kalman filters post-process algorithms radial basis function neural networks significant wave height WAM
Онлайн доступ:	https://www.mdpi.com/1424-8220/24/24/8006
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A Dual Filter Based on Radial Basis Function Neural Networks and Kalman Filters with Application to Numerical Wave Prediction Models

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