Intelligent Methods with Applications in Volcanology and Seismology [electronic resource] / by Alireza Hajian, Giuseppe Nunnari, Roohollah Kimiaefar.

By:

Hajian, Alireza [author.]

Contributor(s):

Material type: Text

TextLanguage: English Series: Publication details: Cham : Springer International Publishing : Imprint: Springer, 2023.Edition: 1st ed. 2023Description: XVII, 203 p. 219 illus., 133 illus. in color. online resourceISBN:

9783031154324

Subject(s):

DDC classification:

550 23
910.02 23

Online resources:

Click Here

Contents:

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.

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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Holdings
Item type	Current library	Call number	Materials specified	Status	Date due	Barcode	Item holds
E-Books	National Library of India Online Resource	550 \| 910.02 (Browse shelf(Opens below))		Available		EBK000043365ENG

Total holds: 0

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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