Geochemical Mechanics and Deep Neural Network Modeling : Applications to Earthquake Prediction

Language: English

Published by Springer, 2023

9811936617 / 9789811936616

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - The recent understandings about global earth mechanics are widely based on huge amounts of monitoring data accumulated using global networks of precise seismic stations, satellite monitoring of gravity, very large baseline interferometry, and the Global Positioning System. New discoveries in materials sciences of rocks and minerals and of rock deformation with fluid water in the earth also provide essential information. This book presents recent work on natural geometry, spatial and temporal distribution patterns of various cracks sealed by minerals, and time scales of their crack sealing in the plate boundary. Furthermore, the book includes a challenging investigation of stochastic earthquake prediction testing by means of the updated deep machine learning of a convolutional neural network with multi-labeling of large earthquakes and of the generative autoencoder modeling of global correlated seismicity. Their manifestation in this book contributes to the development of human societyresilient from natural hazards. Presented here are (1) mechanics of natural crack sealing and fluid flow in the plate boundary regions, (2) large-scale permeable convection of the plate boundary, (3) the rapid process of massive extrusion of plate boundary rocks, (4) synchronous satellite gravity and global correlated seismicity, (5) Gaussian network dynamics of global correlated seismicity, and (6) prediction testing of plate boundary earthquakes by machine learning and generative autoencoders.…

Seller Inventory # 9789811936616

Title
Geochemical Mechanics and Deep Neural Network Modeling : Applications to Earthquake Prediction
Author
Mitsuhiro Toriumi
Publisher
Springer
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
9811936617
ISBN 13
9789811936616
Item weight
493 grams
Dimensions
235x155x15 mm

AHA-BUCH GmbH

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