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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Bibliografische gegevens
Hoofdauteurs: Hajian, Alireza (Auteur), Nunnari, Giuseppe (Auteur), Kimiaefar, Roohollah (Auteur)
Coauteur: SpringerLink (Online service)
Formaat: Elektronisch E-boek
Taal:Engels
Gepubliceerd in: Cham : Springer International Publishing : Imprint: Springer, 2023.
Editie:1st ed. 2023.
Reeks:Advances in Volcanology, An Official Book Series of the International Association of Volcanology and Chemistry of the Earth’s Interior,
Onderwerpen:
Online toegang:https://doi.org/10.1007/978-3-031-15432-4
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100 1 |a Hajian, Alireza.  |e author.  |0 (orcid)0000-0002-1614-539X  |1 https://orcid.org/0000-0002-1614-539X  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Intelligent Methods with Applications in Volcanology and Seismology  |h [electronic resource] /  |c by Alireza Hajian, Giuseppe Nunnari, Roohollah Kimiaefar. 
250 |a 1st ed. 2023. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2023. 
300 |a 1 online resource (XVII, 203 p. 219 illus.).  |b 133 illus. in color. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Advances in Volcanology, An Official Book Series of the International Association of Volcanology and Chemistry of the Earth’s Interior,  |x 2364-3285 
505 0 |a 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. 
520 |a 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. . 
588 |a Print version record. 
650 0 |a Physical geography. 
650 0 |a Machine learning. 
650 0 |a Geology. 
650 0 |a Natural disasters. 
650 1 4 |a Earth System Sciences. 
650 2 4 |a Statistical Learning. 
650 2 4 |a Geology. 
650 2 4 |a Natural Hazards. 
700 1 |a Nunnari, Giuseppe.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Kimiaefar, Roohollah.  |e author.  |0 (orcid)0000-0003-1264-6872  |1 https://orcid.org/0000-0003-1264-6872  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783031154317 
776 0 8 |i Printed edition:  |z 9783031154331 
776 0 8 |i Printed edition:  |z 9783031154348 
830 0 |a Advances in Volcanology, An Official Book Series of the International Association of Volcanology and Chemistry of the Earth’s Interior,  |x 2364-3285 
856 4 0 |u https://doi.org/10.1007/978-3-031-15432-4 
912 |a ZDB-2-EES 
912 |a ZDB-2-SXEE 
950 |a Earth and Environmental Science (SpringerNature-11646) 
950 |a Earth and Environmental Science (R0) (SpringerNature-43711)