基于cnn[细胞神经网络]的列车尾迹自动识别

Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) Pub Date : 1994-12-18 DOI:10.1109/CNNA.1994.381675

M. Balsi, N. Racina

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引用次数: 4

摘要

采用CNN (cellular neural network，细胞神经网络)处理方法，实现了列车尾车厢尾迹的自动识别。该操作符合意大利安全法规的要求，目前由人工操作。提出的基于cnn的系统可能已经足够可靠和廉价，可以自动完成这样的任务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Automatic recognition of train tail signs using CNNs [Cellular neural networks]

Automatic recognition of tail signs placed on train tail cars is realized by CNN (cellular neural network) processing. This operation is required by Italian safety regulations and is currently done by a human operator. The CNN-based system proposed may already be sufficiently reliable and cheap to automate such a task.<>

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Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)

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