The output vector of the network is the indicator of both damaged members and damage extent.
网络的输出向量同时指示了损伤构件及其损伤程度。
An improved method for structural damage identification based on residual force vector is presented.
提出了一种改进的残余力向量法用于工程结构损伤识别。
Through a numerical simulation example of a latticed shell structure, the properties of the damage characteristic vector are tested.
通过一个网壳结构的算例分析，对所提出的损伤特征向量的性质进行了检验。
This paper introduces the support vector classification and regression algorithms, which are applied to the structure damage identification.
介绍了支持向量机分类和回归算法，将其应用于梁结构的损伤诊断中。
A new two-step damage identification method based on residual force vector considering the impact of measurement error (noise) in most cases is proposed.
提出了一个考虑模态噪声影响的基于残余力向量法的损伤识别两步法。
A structural damage identification method based on the support vector machine and the particle swarm algorithm was proposed.
为了有效地进行结构的损伤识别，提出了一种基于支持向量机和粒子群算法的结构损伤识别方法。
Therefore, through structural modal analysis with different damage degree using ANSYS, get natural frequencies and mode shape data as neural network input vector after unitary.
因此，通过有限元软件ANSYS对具有各种损伤程度的结构进行模态分析，得到固有频率和模态分量的数据，经过归一化处理后作为神经网络的输入向量。
In recent years, the method based on residual force vector (RFV) and applied in structure damage identification has been concerned and some achievements were achieved.
近年来基于残余力向量法的损伤识别技术受到了关注并取得了一定的研究成果。
Aiming at shortcomings of the traditional damage assessment model based on pixel-level change detection, this dissertation proposes a new model based on change target features vector analysis.
针对传统的基于像素级变化检测的打击效果评估系统的不足，提出了基于变化目标特征向量分析的打击效果评估系统。
Aiming at shortcomings of the traditional damage assessment model based on pixel-level change detection, this dissertation proposes a new model based on change target features vector analysis.
针对传统的基于像素级变化检测的打击效果评估系统的不足，提出了基于变化目标特征向量分析的打击效果评估系统。
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