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Autore: | Hajian Alireza |
Titolo: | Intelligent methods with applications in volcanology and seismology / / Alireza Hajian, G. Nunnari, Roohollah Kimiaefar |
Pubblicazione: | Cham, Switzerland : , : Springer, , [2023] |
©2023 | |
Edizione: | 1st ed. 2023. |
Descrizione fisica: | 1 online resource (216 pages) |
Disciplina: | 006.3 |
Soggetto topico: | Artificial intelligence |
Persona (resp. second.): | NunnariGiuseppe |
KimiaefarRoohollah | |
Nota di bibliografia: | Includes bibliographical references. |
Nota di contenuto: | 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. |
Sommario/riassunto: | 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. . |
Titolo autorizzato: | Intelligent Methods with Applications in Volcanology and Seismology |
ISBN: | 3-031-15432-0 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910678257003321 |
Lo trovi qui: | Univ. Federico II |
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