提出了一种基于神经网络的结构动力模型修正方法。
An updating technique for structural dynamic models is proposed in this study on the basis of neural network.
结构动力模型修正是当前结构动力学领域一个重要的研究方向。
The structural dynamics models updating have become increasingly important in the structural dynamics field.
本文主要研究结构动力模型修正中的数学理论与方法，研究了一类特殊结构模型修正问题，并为线性结构有限元动力模型修正提供了有效的数值方法。
This dissertation was to study the mathematical theories and methods for structural dynamical model updating. It gave the solutions and the numerical methods of a special structure model updating.
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