Development of machine learning techniques for characterising changes in time-lapse resistivity monitoring

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Development of machine learning techniques for characterising changes in time-lapse resistivity monitoring

Electrical resistivity tomography (ERT) is a geophysical technique for modelling the properties of the shallow subsurface. The technique provides a powerful tool for a volumetric representation of the spatial properties and spatio-temporal systems below the ground by indirectly measuring electrical...

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Bibliographic Details
Main Author:	Ward, Wil O. C.
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2018
Subjects:	machine learning; fuzzy logic; recursive Bayesian estimation; electrical resistivity tomography; near-surface geophysics
Online Access:	https://eprints.nottingham.ac.uk/53373/

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