Application of Soft Computing and Intelligent Methods in Geophysics / / by Alireza Hajian, Peter Styles

• Record Nr.: UNINA9910299379603321
• Autore: Hajian Alireza
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
• ISBN: 3-319-66532-4
• Edizione: [1st ed. 2018.]
• Descrizione fisica: 1 online resource (XVII, 533 p. 410 illus., 247 illus. in color.)
• Collana: Springer Geophysics, , 2364-9119
• Disciplina: 550; 526.1
• Soggetti: 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
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: 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. .
• Sommario/riassunto: 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.