Strain mode parameter and mode identification theory originate from mechanical engineering territory. They are used to structure engineering lately.
应变模态参数和模式识别理论来源于机械工程领域，是在最近十来年才引入建筑结构中来的。
The engineering example proves that the parameter identification method will make the computer model accordant to the practice structure, and better control to construction stage will be achieved.
实例证明采用该方法进行参数识别可以使计算模型基本上与实际结构相一致，在此基础上可以实现时施工状态进行更好的控制。
Here, we suppose that the model structure is unknown. A unified description method of model set of multi-model system, including the identification method of model structure and parameter, is given.
这里不假定模型结构已知，给出了多模型系统模型族的统一描述方法，包括模型结构与参数的辨识方法。
The calculation methods about damage story stiffness and the residue story strength of damage structure are presented by the method of parameter identification.
提出基于参数识别方法的损伤结构层间刚度及剩余强度计算方法；
The dynamic behavior of a structure is greatly influenced by its boundary conditions, if dynamic method is applied to structural damage identification and parameter identification.
采用动力学方法进行结构损伤诊断和参数识别时，结构的边界条件对其动力性能有较大的影响。
This paper presented a parameter identification method based on the structure of human fuzzy control model known, and tried to identificate parameters of the model.
本文根据已知的人的模糊控制模型，提出了一种参数辨识方法，并进行了参数辨识实验。
The shape identification includes the local character point and its direction, the curve structure, the global parameter and topology trait.
形态识别包括：局部特征点及其方向，弯曲的结构特征，整体描述参数以及拓扑特征。
In this paper, the progress of modal parameter identification method for structure system in the past twenty years is discussed, and typical achievements by these methods are briefly introduced.
对结构系统模态参数识别方法近十几年来的最新研究成果进行了综述和总结。分析了模态参数识别方法的发展趋势，并对其中的典型研究成果进行简要的介绍。
The proposed method can accomplish the structure identification and the parameter identification of the fuzzy model in the same time, and implements the on-line identification of the fuzzy model.
该方法利用模糊似然函数对样本数据进行聚类，并使模糊模型的结构辨识和参数辨识能同时完成，从而实现模糊模型的在线辨识。
The design of fuzzy neural networks consists of structure identification and parameter identification.
模糊神经网络的设计包括网络结构辨识和参数辨识。
In the paper online identification based on time window and least square support vector machine (LSSVM) for T-S model is proposed, including structure and parameter identification.
本文提出了基于时间窗的最小二乘支持向量机t - S模型在线辨识算法，包括结构辨识和参数辨识。
Structure identification depends on the potential of data in time window. parameter identification is based on LSSVM with fast speed and high precision of identification.
以时间窗内数据的势能作为结构辨识依据，同时采用最小二乘支持向量机辨识系统参数，辨识速度快、精度高。
The research on structure parameter error of AACMM was done and the principle of structure parameter identification was clearly presented.
研究了关节臂式坐标测量机的结构参数误差对测量机测量精度的影响，分析了结构参数的辨识原理和辨识方法。
The research on structure parameter error of AACMM was done and the principle of structure parameter identification was clearly presented.
研究了关节臂式坐标测量机的结构参数误差对测量机测量精度的影响，分析了结构参数的辨识原理和辨识方法。
应用推荐