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Toward Reliable Railway-Bogie Response Prediction Using Multifidelity TDNN and Physics-Informed Residual Learning

arXiv cs.LG ↗ · 2026-09-14 Cached

This research proposes a multifidelity method combining time-delay neural network and physics-informed residual learning to enhance railway-bogie response prediction by integrating simulation and experimental data.

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