Keywords:
Physical geography.
;
Machine learning.
;
Geology.
;
Natural disasters.
;
Earth System Sciences.
;
Statistical Learning.
;
Geology.
;
Natural Hazards.
Description / Table of Contents:
Chapter1-Intelligent methods and motivations to use in volcanology and seismology -- Chapter2-Machine Learning: The concepts -- Chapter 3 - Machine Learning Applications in volcanology and seismology -- Chapter 4 - Deep Learning: The concepts -- Chapter 5:Deep Learning: Applications in Seismology and Volcanology -- Chapter 6: Evolutionary Algorithms with focus on Genetic Algorithm -- Chapter 7: Application of Genetic Algorithm in volcanology and seismology.
Abstract:
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. .
Type of Medium:
Online Resource
Pages:
XVII, 203 p. 219 illus., 133 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9783031154324
Series Statement:
Advances in Volcanology, An Official Book Series of the International Association of Volcanology and Chemistry of the Earth’s Interior,
URL:
https://doi.org/10.1007/978-3-031-15432-4
DOI:
10.1007/978-3-031-15432-4
DDC:
550
Language:
English
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