Intelligent Methods with Applications in Volcanology and Seismology
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 mod...
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| Main Authors: | , , |
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| Institution som forfatter: | |
| Format: | Electronisk eBog |
| Sprog: | engelsk |
| Udgivet: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Udgivelse: | 1st ed. 2023. |
| Serier: | Advances in Volcanology, An Official Book Series of the International Association of Volcanology and Chemistry of the Earth’s Interior,
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| Fag: | |
| Online adgang: | https://doi.org/10.1007/978-3-031-15432-4 |
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| Summary: | 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. . |
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| Fysisk beskrivelse: | 1 online resource (XVII, 203 p. 219 illus.). 133 illus. in color. |
| ISBN: | 9783031154324 |
| ISSN: | 2364-3285 |
| DOI: | 10.1007/978-3-031-15432-4 |