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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Athanasios Donas, Ioannis Kordatos, Alex Alexandridis, George Galanis, Ioannis Th. Famelis
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
Kalman filters
post-process algorithms
radial basis function neural networks
significant wave height
WAM
Online Access:https://www.mdpi.com/1424-8220/24/24/8006
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1424-8220/24/24/8006

Similar Items