使ML:

Guibin Zhao1, Fateh Bouchaala1, Mohamed S Jouini2

  • 1Earth Sciences Department, Khalifa University of Sciences and Technology, Abu Dhabi, UAE.

PloS one
|January 8, 2025
PubMed
概括

机器学习准确地估计了地震异性质参数,如在破碎介质中的森参数 (ε 和 δ). 这种方法克服了传统基于物理的模型的局限性,提供可重现和可靠的地质解释.

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