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Machine Learning and Artificial Intelligence in Geosciences

  • 1st Edition, Volume 61 - September 22, 2020
  • Editors: Benjamin Moseley, Lion Krischer
  • Language: English
  • Hardback ISBN:
    9 7 8 - 0 - 1 2 - 8 2 1 6 6 9 - 9
  • eBook ISBN:
    9 7 8 - 0 - 1 2 - 8 2 1 6 8 4 - 2

Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysic… Read more

Machine Learning and Artificial Intelligence in Geosciences

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Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well as a review on homogenization for seismology, and more.