Application of soft computing and intelligent methods in geophysics /

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Bibliographic Details
Author / Creator:Hajian, Alireza, author.
Imprint:Cham : Springer, 2018.
Description:1 online resource
Language:English
Series:Springer geophysics
Springer geophysics.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11664375
Hidden Bibliographic Details
Other authors / contributors:Styles, Peter, author.
ISBN:9783319665320
3319665324
3319665316
9783319665313
9783319665313
Digital file characteristics:text file PDF
Notes:Online resource; title from PDF title page (EBSCO, viewed June 26, 2018).
Summary: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.
Other form:Printed edition: 9783319665313
Standard no.:10.1007/978-3-319-66532-0