Application of soft computing and intelligent methods in geophysics /
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Author / Creator: | Hajian, Alireza, author. |
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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 |
Other authors / contributors: | Styles, Peter, author. |
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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 |
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