Intelligent methods with applications in volcanology and seismology / / Alireza Hajian, G. Nunnari, Roohollah Kimiaefar

• Autore: Hajian Alireza
• 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
• Serie: Advances in volcanology.