Research on noise prediction of multiple sound sources in vehicles based on FIM-LSTM
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on March 29, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
This study addresses the challenge of predicting in-vehicle noise under multi-source excitation conditions by proposing a novel prediction model—FIM-LSTM—which integrates an improved Fisher Information Matrix (FIM) with a Long Short-Term Memory (LSTM) ...
This study addresses the challenge of predicting in-vehicle noise under multi-source excitation conditions by proposing a novel prediction model—FIM-LSTM—which integrates an improved Fisher Information Matrix (FIM) with a Long Short-Term Memory (LSTM) ...