Buch, Englisch, 203 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 678 g
Reihe: Advances in Volcanology
Buch, Englisch, 203 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 678 g
Reihe: Advances in Volcanology
ISBN: 978-3-031-15431-7
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.
