深度学习在地震定位中的应用综述

近年来，深度学习的发展给科研人员开辟了地震定位研究的新思路，科研人员将深度学习技术应用于地震定位并取得了较好的效果。文章首先介绍根据神经网络的编码与解码对深度神经网络的分类，然后对深度学习的基本流程进行总结，最后对深度学习中广泛应用于地震定位的方法进行综述，总结不同方法的特点和实际应用情况。结果表明：深度学习方法能够实现地震事件的自动定位，且定位的精度较高，缩短了地震定位所需时间，在处理地震大数据方面也具有明显优势，能够克服目前传统地球物理方法在地震定位方面的一些不足之处。相信随着深度学习技术的进一步发展，必将更为广泛地应用于地震定位研究中。

Review of the application of deep learning in the earthquake location

In recent years, the development of deep learning has opened up a new idea for researchers examining earthquake locations. Deep learning technology has been applied to earthquake locations with good results. The paper first introduces the classification of deep neural networks according to the coding and decoding of neural networks, then summarizes the basic process of deep learning. Finally, it reviews the methods of deep learning widely used in seismic locations and summarizes the characteristics and practical applications of each method. The results show that deep learning methods can help in the automatic determination of the locations of seismic events, with high accuracy of location identification, which greatly shortens the time required for the seismic location. They also have obvious advantages in processing seismic big data and can overcome some shortcomings of traditional geophysical methods in earthquake locations. It is believed that with the further development of deep learning technology, it will be more widely used in seismic location research.