Application of Soft Computing and Intelligent Methods in Geophysics

by Alireza Hajian, Peter Styles

Overview

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.

Product Details

ISBN-13:	9783319665313
Publisher:	Springer International Publishing
Publication date:	06/22/2018
Series:	Springer Geophysics
Edition description:	1st ed. 2018
Pages:	533
Product dimensions:	6.10(w) x 9.25(h) x (d)

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.

Editorial Reviews

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 Publisher