Legitimising data-driven models: exemplification of a new
data-driven mechanistic modelling framework

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Legitimising data-driven models: exemplification of a new data-driven mechanistic modelling framework

In this paper the difficult problem of how to legitimisedata-driven hydrological models is addressed using an example of a simple artificial neural network modelling problem. Many data-driven models in hydrology have been criticised for their black-box characteristics, which prohibit adequate unders...

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Bibliographic Details
Main Authors:	Mount, Nick J., Dawson, C.W., Abrahart, R.J.
Format:	Article
Published:	European Geosciences Union (EGU) 2013
Subjects:	data-driven models
Online Access:	https://eprints.nottingham.ac.uk/28052/

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