| 基于神经网络的结构损伤识别研究进展 |
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| 引用本文： | 崔鹏飞,;李凤臣,;张丽娜,;肖烨,;余祥,;崔少飞.基于神经网络的结构损伤识别研究进展[J].工程质量,2014(7):28-31. |
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| 作者姓名： | 崔鹏飞 ;李凤臣 ;张丽娜 ;肖烨 ;余祥 ;崔少飞 |
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| 作者单位： | [1] 东华理工大学建筑工程学院,江西南昌330013; [2] 西南交通大学交通运输与物流学院,四川成都611756 |
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| 基金项目： | 国家自然科学基金（51208088）、江西省科技落地计划项目（KJLD13052）、江西省青年科学家（井冈之星）培养对象计划项目（20133BcB23021）、江西省青年科学基金项目（20122BAB216004）、2013年度东华理工大学研究生创新专项资金的项目资助（DYCA13021） |
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| 摘 要： | 为提高结构损伤识别方法的精确性和适用性,将神经网络引入到结构损伤识别中。介绍了神经网络的由来、原理和研究意义,概述了国内外基于神经网络的结构损伤识别研究进展。通过分析可以看,出用于结构损伤识别的神经网络方法有着广阔的应用前景。论文针对进一步研究的方向提出了建议。
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| 关 键 词： | 损伤识别 神经网络 研究进展 |
Study Progress of Damage Identification Based on Neural Network for Structure |
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| Affiliation: | CUI Pengfei, LI Fengchen, ZHANG Lina, XIAO Ye, YU Xiang, CUI Shaofi ( 1. Institute of Architectural Engineering, East China Institute of Technology Nanchang Jiangxi 330013, China; 2. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan 611756, China ) |
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| Abstract: | In order to improve the accuracy and applicability of the method for structural damage identification, the neural network is applied to structural damage detection. This paper firstly introduces the origin, principle and research significance of the neural network, then summarizes the domestic and foreign research progress of structural damage identification based on neural network, through the analysis proves that the neural network for structural damage identification has a broad application prospect, finally, suggestions for the further research direction. |
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| Keywords: | Damage identification Neural network Study progress |
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