Sensitivity analysis for comparison, validation and physical-legitimacy of neural network-based hydrological models
This paper addresses the difficult question of how to perform meaningful comparisons between neural network-based hydrological models and alternative modelling approaches. Standard, goodness-of-fit metric approaches are limited since they only assess numerical performance and not physical legitimacy...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
IWA Publishing
2014
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/28054/ |