IGEBA 23946
INSTITUTO DE GEOCIENCIAS BASICAS, APLICADAS Y AMBIENTALES DE BUENOS AIRES
Unidad Ejecutora - UE
artículos
Título:
Prediction of Moho depth in 2D modeling using artificial neural networks.
Autor/es:
ABRAHAM, D. A.; GHIDELA, M.; TASSONE A.; ANCAROLA, M.; PATERLINI, M.
Revista:
BOLLETTINO DI GEOFISICA TEORICA ED APPLICATA
Editorial:
ISTITUTO NAZIONALE DI OCEANOGRAFIA E DI GEOFISICA
Referencias:
Lugar: Trieste; Año: 2013 vol. 54 p. 31 - 34
ISSN:
0006-6729
Resumen:
Using free air anomalies obtained along a line located in the Argentine Sea continental margin, a basic 2D modeling of sediments, basement and mantle was . The aim of this work is to design an artificial neural network so that it can predict how Moho depth is modified when a change in the top of the basement is made.
