Artificial Intelligence and Dynamic Systems for Geophysical Applications

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October 4, 2021 | History

Artificial Intelligence and Dynamic Systems for Geophysical Applications

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The book presents new clustering schemes, dynamical systems and pattern recognition algorithms in geophysical, geodynamical and natural hazard applications. The original mathematical technique is based on both classical and fuzzy sets models. Geophysical and natural hazard applications are mostly original. However, the artificial intelligence technique described in the book can be applied far beyond the limits of Earth science applications. The book is intended for research scientists, tutors, graduate students, scientists in geophysics and engineers.

Publish Date
Language
English
Pages
347

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Previews available in: English

Edition Availability
Cover of: Artificial Intelligence and Dynamic Systems for Geophysical Applications
Artificial Intelligence and Dynamic Systems for Geophysical Applications
2002, Springer Berlin Heidelberg
electronic resource / in English

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Book Details


Table of Contents

Dynamic and Fuzzy Logic Clustering and Classification - Syntactic Algorithms for Time Series Classification - Fuzzy Logic Approach to Classification - Clustering Algorithms - Linear and Circle Structures Recognition Algorithms
Applications to Physics of the Earth, Seismology and Engineering Seismology - Seismological Data Classification - Syntactic Classification - Recognition of Magnetic Anomalies along Mid-Atlantic Ridge
Seismic Hazard Assessment and Recognition of Earthquake-Prone Areas - Earthquake-prone Areas in the Western Alps - Seismically Dangerous Zones in the Pyrenees
Fractals and Multifractals
Generalities and Recalls - Geomorphology Hydrology - Gravity Anomalies - Tectonics, Seismicity, Volcanology
Dynamic Systems Properties and Long Time Series
Conclusions and Perspectives.

Edition Notes

Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.

Published in
Berlin, Heidelberg

Classifications

Dewey Decimal Class
550, 526.1
Library of Congress
QC801-809, QC1-75, GE40-45

The Physical Object

Format
[electronic resource] /
Pagination
1 online resource (xv, 347 p.)
Number of pages
347

ID Numbers

Open Library
OL27018238M
Internet Archive
artificialintell00gvis
ISBN 10
3642077579, 3662049333
ISBN 13
9783642077579, 9783662049334
OCLC/WorldCat
851372693

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History

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October 4, 2021 Edited by ImportBot import existing book
June 28, 2019 Created by MARC Bot import new book