Intelligent Methods with Applications in Volcanology and Seismology
Springer International Publishing (Verlag)
978-3-031-15431-7 (ISBN)
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.
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.
Erscheinungsdatum | 03.03.2023 |
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Reihe/Serie | Advances in Volcanology |
Zusatzinfo | XVII, 203 p. 219 illus., 133 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 178 x 254 mm |
Gewicht | 618 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra |
Naturwissenschaften ► Geowissenschaften ► Geologie | |
Schlagworte | Deep learning • Intelligent Methods • machine learning • Neuro-Fuzzy Systems • Real-time seismic signal discrimination |
ISBN-10 | 3-031-15431-2 / 3031154312 |
ISBN-13 | 978-3-031-15431-7 / 9783031154317 |
Zustand | Neuware |
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