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
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
![Machine Learning and Artificial Intelligence in Geosciences](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.10.4)
Machine Learning and Artificial Intelligence in Geosciences
316![Machine Learning and Artificial Intelligence in Geosciences](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.10.4)
Machine Learning and Artificial Intelligence in Geosciences
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Product Details
ISBN-13: | 9780128216842 |
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Publisher: | Elsevier Science |
Publication date: | 09/22/2020 |
Series: | ISSN |
Sold by: | Barnes & Noble |
Format: | eBook |
Pages: | 316 |
File size: | 39 MB |
Note: | This product may take a few minutes to download. |