Overview
- Describes various applications in volcanology and seismology
- Provides well organized flowcharts and codes to clarify how to apply the intelligent methods
- Covers examples of applications
Part of the book series: Advances in Volcanology (VOLCAN)
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Table of contents (7 chapters)
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Front Matter
Keywords
About this book
This book presents intelligent methods like neural, neuro-fuzzy, machine learning, deep learning and metaheuristic methods and their applications in both volcanology and seismology. The complex system of volcanoes and also earthquakes is a big challenge to identify their behavior using available models, which motivates scientists to apply non-model based methods. As there are lots of seismology and volcanology data sets, i.e., the local and global networks, one solution is using intelligent methods in which data-based algorithms are used.
Authors and Affiliations
Bibliographic Information
Book Title: Intelligent Methods with Applications in Volcanology and Seismology
Authors: Alireza Hajian, Giuseppe Nunnari, Roohollah Kimiaefar
Series Title: Advances in Volcanology
DOI: https://doi.org/10.1007/978-3-031-15432-4
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-15431-7Published: 02 March 2023
Softcover ISBN: 978-3-031-15434-8Published: 02 March 2024
eBook ISBN: 978-3-031-15432-4Published: 01 March 2023
Series ISSN: 2364-3277
Series E-ISSN: 2364-3285
Edition Number: 1
Number of Pages: XVII, 203
Number of Illustrations: 86 b/w illustrations, 133 illustrations in colour
Topics: Earth System Sciences, Statistics and Computing/Statistics Programs, Earth Sciences, general, Natural Hazards