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Application of soft computing and in...

Hajian, Alireza.

Application of soft computing and intelligent methods in geophysics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Application of soft computing and intelligent methods in geophysicsby Alireza Hajian, Peter Styles.
作者:	Hajian, Alireza.
其他作者:	Styles, Peter.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xvii, 533 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	GeophysicsData processing.
電子資源:	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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520 $a 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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