Neural network analysis of structural damage due to corrosion

H. Furuta, T. Deguchi, M. Kushida
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引用次数: 12

Abstract

We attempt to develop a practical decision support system for the damage assessment of structural corrosion. This system aims to aid inexperienced inspectors to judge whether a certain bridge should be repaired or not. For this purpose, it is attempted to apply the neural network technique for the damage assessment. The learning ability of the neural network is useful to save the working time and load necessary in the inspection and analysis.
结构腐蚀损伤的神经网络分析
我们试图开发一个实用的结构腐蚀损伤评估决策支持系统。该系统旨在帮助没有经验的检查员判断某座桥是否应该修复。为此,尝试将神经网络技术应用于损伤评估。神经网络的学习能力有助于节省检测和分析所需的工作时间和工作量。
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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