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为了研究建立同一结构在两个不同系统中振动响应之间的映射关系模型的基本问题,以两种边界条件组成的两个系统为例,从其动力学方程出发,建立了基于时域、频域描述的映射关系的力学模型。为求解两个系统的映射关系模型,引入以统计学习理论为基础的机器学习方法——支持向量机法,借助于决策函数可以从一种边界条件预测同一结构在另一种边界条件下结构的响应,并通过实验证明了该方法的有效性。
In order to study the basic problem of establishing the model of the mapping relationship between the vibration responses of the same structure in two different systems, taking two systems composed of two boundary conditions as an example, based on the dynamic equations, a time- The mechanical model of the mapping of the domain description. In order to solve the model of the mapping between the two systems, a machine learning method based on statistical learning theory - Support Vector Machine (SVM) is introduced. With the help of decision function, one kind of boundary conditions can predict the structure of the same structure under another boundary condition Response, and the experiment proves the effectiveness of the method.