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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Geosciences Union (EGU)
2013
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| Online Access: | http://eprints.nottingham.ac.uk/28052/ http://eprints.nottingham.ac.uk/28052/ http://eprints.nottingham.ac.uk/28052/ http://eprints.nottingham.ac.uk/28052/1/hess-17-2827-2013.pdf |