深度学习地震学
S Mostafa Mousavi1,2, Gregory C Beroza1
1Department of Geophysics, Stanford University, Stanford, CA 94305, USA.
概括
通过分析地震波来了解地球内部, 深度学习方法正在彻底改变地震学. 这篇综述探讨了应用这些强大的人工智能技术在地震数据分析中的趋势,挑战和机遇.
科学领域:
- 地质学
- 地震学
- 人工智能
背景情况:
- 地震波对于探测地球内部结构至关重要.
- 大规模的地震数据集越来越多.
- 深度学习 (DL) 对地震数据处理具有很大的前景.
研究的目的:
- 在地震学中提供DL应用的系统概述.
- 确定主要趋势,挑战和机遇.
- 突出地质科学和其他研究领域的更广泛影响.
主要方法:
- 对地震学应用的当前深度学习方法的审查.
- 使用DL进行地震数据处理工作流程的分析.
- 确定共同的挑战和成功的战略.
主要成果:
- 深度学习正在推动基础地震研究.
- 特定的DL技术已被证明是地震数据分析的有效方法.
- 需要仔细考虑DL应用的细微差别,以获得最佳结果.
结论:
- 深度学习为地震学的进步提供了巨大潜力.
- 了解DL应用的细节是地球科学的关键.
- 这种方法可以为其他科学领域提供更广泛的见解.
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