Application of Soft Computing and Intelligent Methods in Geophysics
This book provides a practical guide to applying soft-computing methods to interpret geophysical data. It discusses the design of neural networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes genetic algorithms for...
| Κύριοι συγγραφείς: | , |
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| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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| Έκδοση: | 1st ed. 2018. |
| Σειρά: | Springer Geophysics,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
| Περίληψη: | This book provides a practical guide to applying soft-computing methods to interpret geophysical data. It discusses the design of neural networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes genetic algorithms for the automatic and/or intelligent processing and interpretation of geophysical data. |
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| Φυσική περιγραφή: | XVII, 533 p. 410 illus., 247 illus. in color. online resource. |
| ISBN: | 9783319665320 |
| ISSN: | 2364-9119 |
| DOI: | 10.1007/978-3-319-66532-0 |