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Intelligent methods with applications in volcanology and seismology

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent methods with applications in volcanology and seismologyby Alireza Hajian, Giuseppe Nunnari, Roohollah Kimiaefar.
Author:	Hajian, Alireza.
other author:	Nunnari, G.
Published:	Cham :Springer International Publishing :2023.
Description:	xvii, 203 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	VolcanologyData processing.
Online resource:	https://doi.org/10.1007/978-3-031-15432-4
ISBN:	9783031154324$q(electronic bk.)

Intelligent methods with applications in volcanology and seismology
Hajian, Alireza.

Intelligent methods with applications in volcanology and seismology[electronic resource] /by Alireza Hajian, Giuseppe Nunnari, Roohollah Kimiaefar. - Cham :Springer International Publishing :2023. - xvii, 203 p. :ill., digital ;24 cm. - Advances in volcanology,2364-3285. - Advances in volcanology..

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.

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.

ISBN: 9783031154324$q(electronic bk.)

Standard No.: 10.1007/978-3-031-15432-4doiSubjects--Topical Terms:

946305
Volcanology
--Data processing.

LC Class. No.: QE522

Dewey Class. No.: 551.21028563

Intelligent methods with applications in volcanology and seismology
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245 1 0 $a Intelligent methods with applications in volcanology and seismology $h [electronic resource] / $c by Alireza Hajian, Giuseppe Nunnari, Roohollah Kimiaefar.
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490 1 $a Advances in volcanology, $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.
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650 0 $a Artificial intelligence. $3 194058
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650 2 4 $a Statistical Learning. $3 921460
650 2 4 $a Geology. $3 196077
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