冲击信号的评估与目标检测的神经网络

2008 IEEE International Symposium on Industrial Electronics Pub Date : 2008-11-18 DOI:10.1109/ISIE.2008.4677257

E. Molino-Minero-Re, M. Lopez-Garcia, A. Manuel-Lazaro

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引用次数: 0

摘要

本文提出了一项研究，评估了不同的神经网络配置和不同的冲击源，用于检测以冲击为信息来源的材料。这项工作也涉及到物体在受到冲击时会有类似的反应，比如由钢和铝制成的物体。

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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Evaluation of impacting signals and neural networks for objects detection

This paper presents a study that evaluates different neural networks configurations and different impact sources, for detecting materials using impacts as the source of information. This work deals as well with objects that have similar responses when impacted, as is the case of pieces made from steel and aluminum.

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2008 IEEE International Symposium on Industrial Electronics

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