Téléchargez le livre : Computation, Optimization, and Machine Learning in Seismology

Computation, Optimization, and Machine Learning in Seismology



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Éditeur :

American Geophysical Union


Collection :

AGU Advanced Textbooks

Paru le : 2025-09-23



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Description

A textbook applying fundamental seismology theories to the latest computational tools
The goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these models with observations to identify subsurface rock properties. With recent advances in computing technology, including machine learning, it is now possible to automate matching procedures and use waveform inversion or optimization to create large-scale models.
Computation, Optimization, and Machine Learning in Seismology provides students with a detailed understanding of seismic wave theory, optimization theory, and how to use machine learning to interpret seismic data.
Volume highlights include: Mathematical foundations and key equations for computational seismology Essential theories, including wave propagation and elastic wave theory Processing, mapping, and interpretation of prestack data Model-based optimization and artificial intelligence methods Applications for earthquakes, exploration seismology, depth imaging, and multi-objective geophysics problems Exercises applying the main concepts of each chapter
Pages
416 pages
Collection
AGU Advanced Textbooks
Parution
2025-09-23
Marque
American Geophysical Union
EAN papier
9781119654469
EAN PDF
9781119654476
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
416
Taille du fichier
15124 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
117,21 €

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