Additional information
| Full Title | Machine Learning and Artificial Intelligence in Geosciences |
|---|---|
| Author(s) | |
| Edition | |
| ISBN | 9780128216842, 9780128216699 |
| Publisher | Academic Press |
| Format | PDF and EPUB |
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| Full Title | Machine Learning and Artificial Intelligence in Geosciences |
|---|---|
| Author(s) | |
| Edition | |
| ISBN | 9780128216842, 9780128216699 |
| Publisher | Academic Press |
| Format | PDF and EPUB |
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.