深度学习铁路异常检测综述

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   arXiv · Machine Learning Theory

   铁路系统异常检测的深度学习方法：结构化综述

   该综述论文系统梳理了深度学习在铁路异常检测中的应用，涵盖卷积、循环、注意力架构、自编码器、GAN 和 Transformer 等方法，按分类、预测、重建和混合学习范式组织。论文还分析了数据挑战、评估指标、边缘-云部署、计算约束与硬件优化，并提出决策框架以匹配异常特征与检测范式。

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