Interpretation of spontaneous potential anomalies from some simple geometrically shaped bodies using neural network inversion

A new approach is proposed in order to interpret spontaneous potential (self-potential) anomalies related to simple geometric-shaped models such as sphere, horizontal cylinder, and vertical cylinder. This approach is mainly based on using neural network inversion of SP anomalies, particularly modula...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Acta geophysica Ročník 58; číslo 1; s. 143 - 162
Hlavní autor:	Al-Garni, Mansour A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Heidelberg SP Versita 01.02.2010 Versita Springer Nature B.V
Témata:	Algorithms Earth and Environmental Science Earth Sciences Geophysics Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Hilbert transform modular algorithm neural network inversion Neural networks Normal distribution semi-infinite vertical cylinder spontaneous potential anomalies Structural Geology Hilbert transform modular algorithm semi-infinite vertical cylinder spontaneous potential anomalies neural network inversion
ISSN:	1895-6572, 1895-7455
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!