Machine Learning and Artificial Intelligence in Geosciences
Gebonden Engels 2020 9780128216699Levertijd ongeveer 9 werkdagen
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Samenvatting
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.
Specificaties
ISBN13:9780128216699
Taal:Engels
Bindwijze:Gebonden
Uitgever:Elsevier Science
Serie:Advances in Geophysics
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Inhoudsopgave
<p>1. Preface<br>2. 70 years of machine learning in geoscience in review<br>Jesper Sören Dramsch<br>3. Machine learning and fault rupture: A review<br>Christopher X. Ren, Claudia Hulbert, Paul A. Johnson and Bertrand Rouet-Leduc<br>4. Machine learning techniques for fractured media<br>Shriram Srinivasan<br>5. Seismic signal augmentation to improve generalization of deep neural networks<br>Weiqiang Zhu , S. Mostafa Mousavi and Gregory C. Beroza<br>6. Deep generator priors for Bayesian seismic inversion<br>Zhilong Fang, Hongjian Fang and L. Demanet<br>7. An introduction to the two-scale homogenization method for seismology<br>Yann Capdeville, Paul Cupillard and Sneha Singh</p>
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