Sensitivity Analysis of Long Short-Term Memory-Based Neural Network Model for Vehicle Yaw Rate Prediction

Sensitivity Analysis of Long Short-Term Memory-Based Neural Network Model for Vehicle Yaw Rate Prediction

In recent years, the application of artificial neural network models has become increasingly widespread in the automotive industry; however, the sensitivity analysis of these models is often neglected. This shortfall poses significant risks in safety-critical applications, where the reliability of m...

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Bibliographic Details
Main Authors: János Kontos, László Bódis, Ágnes Vathy-Fogarassy
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
long short-term memory network
yaw rate prediction
sensitivity analysis
experimental data
Online Access:https://www.mdpi.com/1424-8220/25/5/1363
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