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Application of Soft Computing and Intelligent Methods in Geophysics de Alireza Hajian

Application of Soft Computing and Intelligent Methods in Geophysics: Springer Geophysics

Autor Alireza Hajian, Peter Styles
en Limba Engleză Hardback – 5 iul 2018
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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Specificații

ISBN-13: 9783319665313
ISBN-10: 3319665316
Pagini: 160
Ilustrații: XVII, 533 p. 410 illus., 247 illus. in color.
Dimensiuni: 155 x 235 x 37 mm
Greutate: 0.94 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Springer Geophysics

Locul publicării:Cham, Switzerland

Cuprins

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. 

Recenzii

“This is certainly a useful book offering novel approaches of computational techniques related to a variety of geophysical applications widely using Matlab and its toolbox algorithms. It can be interesting both for those active in pure computational techniques as well as for professional researchers … . The book is also a highly instructive literature for graduate students as it provides many exercises and practical examples of how to use and apply the described numerical methods in treating concrete geophysical problems.” (Vladimir Čadež, zbMATH 1400.86001, 2019)

Textul de pe ultima copertă

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.

Caracteristici

Easy to understand step-by-step description of the principles of soft computing methods to interpret geophysical data Provides a guide to use Matlab to apply soft computing methods Includes various practical examples with interesting engineering applications