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Application of soft computing and in...
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Hajian, Alireza.
Application of soft computing and intelligent methods in geophysics
Record Type:
Electronic resources : Monograph/item
Title/Author:
Application of soft computing and intelligent methods in geophysicsby Alireza Hajian, Peter Styles.
Author:
Hajian, Alireza.
other author:
Styles, Peter.
Published:
Cham :Springer International Publishing :2018.
Description:
xvii, 533 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
GeophysicsData processing.
Online resource:
http://dx.doi.org/10.1007/978-3-319-66532-0
ISBN:
9783319665320$q(electronic bk.)
Application of soft computing and intelligent methods in geophysics
Hajian, Alireza.
Application of soft computing and intelligent methods in geophysics
[electronic resource] /by Alireza Hajian, Peter Styles. - Cham :Springer International Publishing :2018. - xvii, 533 p. :ill., digital ;24 cm. - Springer geophysics,2364-9127. - Springer geophysics..
Neural networks :concepts /applications in: Seismic,EM,Gravity,VLF,conductivity,GPR -- Fuzzy logic:concepts /applications in: Seismic,EM,Gravity,VLF,conductivity,GPR -- Neuro-fuzzy concepts /applications in: Seismic,EM,Gravity,VLF,conductivity,GPR -- Genetic Algorithm: concepts /applications in: Seismic,EM,Gravity,VLF,conductivity,GPR -- Future of soft computing methods in geophysics.
This book provides a practical guide to applying soft-computing methods to interpret geophysical data. It discusses the design of neural networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes genetic algorithms for the automatic and/or intelligent processing and interpretation of geophysical data.
ISBN: 9783319665320$q(electronic bk.)
Standard No.: 10.1007/978-3-319-66532-0doiSubjects--Topical Terms:
281286
Geophysics
--Data processing.
LC Class. No.: QC808.6 / .H355 2018
Dewey Class. No.: 557.3
Application of soft computing and intelligent methods in geophysics
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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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Earth and Environmental Science (Springer-11646)
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EB QC808.6 H154 2018 2018
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http://dx.doi.org/10.1007/978-3-319-66532-0
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