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An artificial neural network approach to rainfall-runoff modelling

, : An artificial neural network approach to rainfall-runoff modelling. Hydrological Sciences Journal 43(1): 47-66

This paper provides a discussion of the development and application of Artificial Neural Networks (ANNs) to flow forecasting in two flood-prone UK catchments using real hydrometric data. Given relatively brief calibration data sets it was possible to construct robust models of 15-min flows with six hour lead times for the Rivers Amber and Mole. Comparisons were made between the performance of the ANN and those of conventional flood forecasting systems.


DOI: 10.1080/02626669809492102

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