Application of Soft Computing and Intelligent Methods in Geophysics Softcover reprint of the original 1st ed. 2018 Edition

Application of Soft Computing and Intelligent Methods in Geophysics Softcover reprint of the original 1st ed. 2018 Edition book cover

Application of Soft Computing and Intelligent Methods in Geophysics Softcover reprint of the original 1st ed. 2018 Edition

Author(s): Alireza Hajian (Author), Peter Styles (Author)

  • Publisher: Springer
  • Publication Date: 12 Jan. 2019
  • Edition: Softcover reprint of the original 1st ed. 2018
  • Language: English
  • Print length: 550 pages
  • ISBN-10: 3030097749
  • ISBN-13: 9783030097745

Book Description

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.

Editorial Reviews

Review

“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)

From the Back Cover

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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