基于 BP 神经网络的结构损伤识别研究 |
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引用本文: | 常虹,;尹春超. 基于 BP 神经网络的结构损伤识别研究[J]. 黑龙江商学院学报, 2014, 0(4): 474-476 |
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作者姓名: | 常虹, 尹春超 |
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作者单位: | [1] 吉林建筑大学,长春130118; [2] 吉林北银建筑设计研究院,长春130021 |
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摘 要: | 针对结构的损伤识别进行了研究,选取结构固有频率平方变化比作为特征参数,建立12×25×1 BP网络结构,采用均方误差函数目标误差函数,学习函数选取梯度下降动量学习函数和L-M优化算法,对四层钢框架结构的损伤进行了检测。
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关 键 词: | BP神经网络 结构 损伤 |
Study on structural damage identification based on BP neural network |
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Affiliation: | CHANG Hong, YIN Chun-chao ( 1. Jilin Architecture University, Changchun 130118, China; 2. Jilin Beiyin Architecture Design and Research Institute, Changchun 130021, China) |
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Abstract: | This paper studied the structural damage , chose the change rate of squared natural frequency of the structure as characteristic parameter established 12 ×25 ×1 BP neural net-work using the mean square error function as target error function , selected gradient descent momentum learning function and L -M optimization algorithm and set up a three layers BP neural network to test four layers steel frame structure ’ s damage . |
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Keywords: | BP neural network structure damage |
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