Machine Learning and Artificial Intelligence in Geosciences
Academic Press
Published on 22. September 2020
316 pages
978-0-12-821684-2 (ISBN)
Description
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.
- Provides high-level reviews of the latest innovations in geophysics
- Written by recognized experts in the field
- Presents an essential publication for researchers in all fields of geophysics
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Additional editions
Benjamin Moseley | Lion Krischer
Machine Learning and Artificial Intelligence in Geosciences: Volume 61
Book
09/2020
Academic Press
€204.27
Shipment within 15-20 days
Persons
Content
1. Preface2. 70 years of machine learning in geoscience in reviewJesper Sören Dramsch3. Machine learning and fault rupture: A reviewChristopher X. Ren, Claudia Hulbert, Paul A. Johnson and Bertrand Rouet-Leduc4. Machine learning techniques for fractured mediaShriram Srinivasan5. Seismic signal augmentation to improve generalization of deep neural networksWeiqiang Zhu , S. Mostafa Mousavi and Gregory C. Beroza6. Deep generator priors for Bayesian seismic inversionZhilong Fang, Hongjian Fang and L. Demanet7. An introduction to the two-scale homogenization method for seismologyYann Capdeville, Paul Cupillard and Sneha Singh
