Application example of neural networks for time series analysis: rainfall-runoff modeling
Signal Processing - Special issue on neural networks
An application of pruning in the design of neural networks for real time flood forecasting
Neural Computing and Applications
Neural Networks - 2006 special issue: Earth sciences and environmental applications of computational intelligence
Environmental Modelling & Software
A comparison between neural-network forecasting techniques-case study: river flow forecasting
IEEE Transactions on Neural Networks
A time series tool to support the multi-criteria performance evaluation of rainfall-runoff models
Environmental Modelling & Software
Environmental Modelling & Software
Network environ theory, simulation, and EcoNet® 2.0
Environmental Modelling & Software
An open software environment for hydrological model assessment and development
Environmental Modelling & Software
Position paper: Characterising performance of environmental models
Environmental Modelling & Software
Environmental Modelling & Software
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This paper presents details of an open access web site that can be used by hydrologists and other scientists to evaluate time series models. There is at present a general lack of consistency in the way in which hydrological models are assessed that handicaps the comparison of reported studies and hinders the development of superior models. The HydroTest web site provides a wide range of objective metrics and consistent tests of model performance to assess forecasting skill. This resource is designed to promote future transparency and consistency between reported models and includes an open forum that is intended to encourage further discussion and debate on the topic of hydrological performance evaluation metrics. It is envisaged that the provision of such facilities will lead to the creation of superior forecasting metrics and the development of international benchmark time series datasets.