Intelligent Methods with Applications in Volcanology and Seismology
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 mod...
I tiakina i:
| Ngā kaituhi matua: | , , |
|---|---|
| Kaituhi rangatōpū: | |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
|
| Putanga: | 1st ed. 2023. |
| Rangatū: | Advances in Volcanology, An Official Book Series of the International Association of Volcanology and Chemistry of the Earth’s Interior,
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| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-3-031-15432-4 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Rārangi ihirangi:
- 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.