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...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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| Edition: | 1st ed. 2018. |
| Series: | Springer Geophysics,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Neural networks :concepts /applications in: Seismic,EM,Gravity,VLF,conductivity,GPR
- Fuzzy logic:concepts /applications in: Seismic,EM,Gravity,VLF,conductivity,GPR
- Neuro-fuzzy concepts /applications in: Seismic,EM,Gravity,VLF,conductivity,GPR
- Genetic Algorithm: concepts /applications in: Seismic,EM,Gravity,VLF,conductivity,GPR
- Future of soft computing methods in geophysics. .