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Application of particle swarm optimization on self-potential data

Author
PEKSEN, Ertan1 ; YAS, Türker1 ; YEKTA KAYMAN, A2 ; ÖZKAN, Coşkun3
[1] Kocaeli University, Faculty of Engineering, Department of Geophysical Engineering, Kocaeli 41380, Turkey
[2] Kocaeli University, Institute of Natural and Applied Sciences, Kocaeli 41380, Turkey
[3] Kocaeli University, Faculty of Engineering, Department of Industrial Engineering, Kocaeli 41380, Turkey
Source

Journal of applied geophysics. 2011, Vol 75, Num 2, pp 305-318, 14 p ; ref : 3/4 p

ISSN
0926-9851
Scientific domain
Geophysics
Publisher
Elsevier, Oxford
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Global search method Particle swarm optimization Quantitative interpretation Self-potential
Keyword (fr)
Analyse statistique Bruit Erreur Essaim Fréquence Géophysique Interprétation Modèle Moment dipolaire Monde Optimisation Oscillation Particule Polarisation Profondeur Statistique Turquie Asie Moyen Orient
Keyword (en)
statistical analysis noise errors swarms frequency geophysics interpretation models dipole moment global optimization oscillations particles polarization depth statistics Turkey Asia Middle East
Keyword (es)
Error Enjambre Frecuencia Geofísica Interpretación Modelo Momento dipolar Mundo Optimización Oscilación Polarización Profundidad Estadística Turquía Asia Oriente Medio
Classification
Pascal
001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics

Discipline
Earth sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
24698110

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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