|
|
|
|
LEADER |
02125nmm a2200385 u 4500 |
001 |
EB001841151 |
003 |
EBX01000000000000001005140 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
180702 ||| eng |
020 |
|
|
|a 9783319665320
|
100 |
1 |
|
|a Hajian, Alireza
|
245 |
0 |
0 |
|a Application of Soft Computing and Intelligent Methods in Geophysics
|h Elektronische Ressource
|c by Alireza Hajian, Peter Styles
|
250 |
|
|
|a 1st ed. 2018
|
260 |
|
|
|a Cham
|b Springer International Publishing
|c 2018, 2018
|
300 |
|
|
|a XVII, 533 p. 410 illus., 247 illus. in color
|b online resource
|
505 |
0 |
|
|a 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.
|
653 |
|
|
|a Computer science—Mathematics
|
653 |
|
|
|a Geotechnical Engineering & Applied Earth Sciences
|
653 |
|
|
|a Geophysics
|
653 |
|
|
|a Math Applications in Computer Science
|
653 |
|
|
|a Geotechnical engineering
|
653 |
|
|
|a Artificial Intelligence
|
653 |
|
|
|a Artificial intelligence
|
653 |
|
|
|a Mathematical physics
|
653 |
|
|
|a Mathematical Applications in the Physical Sciences
|
653 |
|
|
|a Geophysics/Geodesy
|
700 |
1 |
|
|a Styles, Peter
|e [author]
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
490 |
0 |
|
|a Springer Geophysics
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-66532-0?nosfx=y
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 550
|
082 |
0 |
|
|a 526.1
|
520 |
|
|
|a 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
|