Intelligent Methods with Applications in Volcanology and Seismology: Advances in Volcanology
Autor Alireza Hajian, Giuseppe Nunnari, Roohollah Kimiaefaren Limba Engleză Paperback – 2 mar 2024
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Specificații
ISBN-13: 9783031154348
ISBN-10: 3031154347
Pagini: 203
Ilustrații: XVII, 203 p. 219 illus., 133 illus. in color.
Dimensiuni: 178 x 254 mm
Ediția:2023
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Volcanology
Locul publicării:Cham, Switzerland
ISBN-10: 3031154347
Pagini: 203
Ilustrații: XVII, 203 p. 219 illus., 133 illus. in color.
Dimensiuni: 178 x 254 mm
Ediția:2023
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Volcanology
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
Describes various applications in volcanology and seismology Provides well organized flowcharts and codes to clarify how to apply the intelligent methods Covers examples of applications