Comparative Analysis of Time-Series Forecasting Models for eLoran Systems: Exploring the Effectiveness of Dynamic Weighting

Comparative Analysis of Time-Series Forecasting Models for eLoran Systems: Exploring the Effectiveness of Dynamic Weighting

This paper presents an advanced time-series forecasting methodology that integrates multiple machine learning models to improve data prediction in enhanced long-range navigation (eLoran) systems. The analysis evaluates five forecasting approaches: multivariate linear regression, long short-term memo...

Full description

Saved in:
Bibliographic Details
Main Authors: Jianchen Di, Miao Wu, Jun Fu, Wenkui Li, Xianzhou Jin, Jinyu Liu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
eLoran system
ASF prediction
deep learning
system performance optimisation
LSTM
random forest
Online Access:https://www.mdpi.com/1424-8220/25/14/4462
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1424-8220/25/14/4462

Similar Items