Application of Soft Computing and Intelligent Methods in Geophysics

• Main Authors: Hajian, Alireza (Author, http://id.loc.gov/vocabulary/relators/aut), Styles, Peter (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Springer Geophysics,
• Subjects: Geophysics.; Geotechnical engineering.; Mathematical physics.; Computer science-Mathematics.; Artificial intelligence.; Geophysics/Geodesy.; Geotechnical Engineering & Applied Earth Sciences.; Mathematical Applications in the Physical Sciences.; Math Applications in Computer Science.; Artificial Intelligence.
• Physical Description: XVII, 533 p. 410 illus., 247 illus. in color. online resource.
• ISBN: 9783319665320
• ISSN: 2364-9119
• DOI: 10.1007/978-3-319-66532-0

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.