Intelligent methods with applications in volcanology and seismology
著者
書誌事項
Intelligent methods with applications in volcanology and seismology
（Advances in volcanology）
Springer, 2023
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注記
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
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.
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