Particle Swarm Optimization and Uncertainty Assessment in Inverse Problems

Particle Swarm Optimization and Uncertainty Assessment in Inverse Problems

Most inverse problems in the industry (and particularly in geophysical exploration) are highly underdetermined because the number of model parameters too high to achieve accurate data predictions and because the sampling of the data space is scarce and incomplete; it is always affected by different...

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Bibliographic Details
Main Authors: José L. G. Pallero, María Zulima Fernández-Muñiz, Ana Cernea, Óscar Álvarez-Machancoses, Luis Mariano Pedruelo-González, Sylvain Bonvalot, Juan Luis Fernández-Martínez
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Entropy
Subjects:
inverse problems
nonlinear inversion
noise and regularization
model reduction
uncertainty analysis
particle swarm optimization (PSO)
Online Access:http://www.mdpi.com/1099-4300/20/2/96

Internet

http://www.mdpi.com/1099-4300/20/2/96

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