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Application of Soft Computing and Intelligent 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...

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Bibliographic Details
Main Authors: Hajian, Alireza, Styles, Peter (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2018, 2018
Edition:1st ed. 2018
Series:Springer Geophysics
Subjects:
Computer Science—mathematics
Geotechnical Engineering & Applied Earth Sciences
Geophysics
Math Applications In Computer Science
Geotechnical Engineering
Artificial Intelligence
Mathematical Physics
Mathematical Applications In The Physical Sciences
Geophysics/geodesy
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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.

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