Deep learning has been the most popular machine learning method in the last few years. In this chapter, we present the application of deep learning and physics-informed neural networks concerning structural mechanics and vibration problems. Demonstration problems involve de-noising data, solution to time-dependent ordinary and partial differential equations, and characterizing the system's response for a given data.

翻译：深层次学习是过去几年中最受欢迎的机器学习方法。本章介绍深层次学习和物理知情神经网络在结构力学和振动问题方面的应用情况。示范问题涉及数据去注、解决取决于时间的普通和部分差异方程式,以及系统对特定数据的反应特点。