Free Delivery Over $100
|
|
|||
|
||||
OverviewThis 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. Full Product DetailsAuthor: Alireza Hajian , Peter StylesPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2018 Weight: 8.147kg ISBN: 9783319665313ISBN 10: 3319665316 Pages: 533 Publication Date: 05 July 2018 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsNeural 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.ReviewsThis 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 Cadez, zbMATH 1400.86001, 2019) Author InformationTab Content 6Author Website:Countries AvailableAll regions |
||||
