Nouvelles Acquisitions: eBooks
???? Consulter le catalogue des acquisitions 2026 (PDF)
| Titre : | Machine Learning and Artificial Intelligence in Geosciences |
| Auteurs : | Benjamin Moseley, Auteur ; Lion Krischer, Auteur |
| Type de document : | document électronique |
| Editeur : | New York : Academic press, 2020 |
| ISBN/ISSN/EAN : | 978-0-12-821684-2 |
| Format : | 1 fichier PDF / ill. |
| Note générale : |
Mode d'accès : accès au texte intégral par :
- authentification après inscription à la plateforme EBSCOhost ou - adresse IP de l'École. |
| Langues : | Anglais |
| Index. décimale : | 550.3 (Géophysique) |
| Tags : | Machine learning Earth sciences--Data processing |
| Résumé : | 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 |
| Note de contenu : |
Summary:
1.70 years of machine learning in geoscience in review 2.Machine learning and fault rupture: A review 3.Machine learning techniques for fractured media 4. Seismic signal augmentation to improve generalization of deep neural networks 5.Deep generator priors for Bayesian seismic inversion 6. An introduction to the two-scale homogenization method for seismology |
| En ligne : | https://research.ebsco.com/linkprocessor/plink?id=ea0752cf-a3d6-3fa1-bfe9-bae29d805980 |
Exemplaires (1)
| Code-barres | Cote | Support | Localisation | Section | Disponibilité | Etat_Exemplaire | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| E00447 | 550.3 MOS | Ressources électroniques | Bibliothèque Centrale | Sciences de la terre | Disponible | Téléchargeable |

