Zobrazeno 1 - 10
of 24
pro vyhledávání: '"C. W. Dawson"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 17, Iss 7, Pp 2827-2843 (2013)
In this paper the difficult problem of how to legitimise data-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-
Externí odkaz:
https://doaj.org/article/a85b0d5bcf74453faed47e041dcb85b8
Publikováno v:
Hydrology and Earth System Sciences, Vol 16, Iss 8, Pp 3049-3060 (2012)
When analysing the performance of hydrological models in river forecasting, researchers use a number of diverse statistics. Although some statistics appear to be used more regularly in such analyses than others, there is a distinct lack of consistenc
Externí odkaz:
https://doaj.org/article/0697e276978a4fc38357206635f062b3
Publikováno v:
Hydrology and Earth System Sciences, Vol 6, Iss 4, Pp 619-626 (2002)
While engineers have been quantifying rainfall-runoff processes since the mid-19th century, it is only in the last decade that artificial neural network models have been applied to the same task. This paper evaluates two neural networks in this conte
Externí odkaz:
https://doaj.org/article/61dd0705e1564e6a94262abfaa20244d
Autor:
C. W. Dawson, R. L. Wilby
Publikováno v:
Hydrology and Earth System Sciences, Vol 3, Iss 4, Pp 529-540 (1999)
This paper compares the performance of two artificial neural network (ANN) models – the multi layer perceptron (MLP) and the radial basis function network (RBF) – with a stepwise multiple linear regression model (SWMLR) and zero order forecasts (
Externí odkaz:
https://doaj.org/article/e00b8b1e8b4a4ca2bfdc96e7cb138e1d
Autor:
R. L. Wilby, C. W. Dawson, D. Yu, Z. Herring, A. Baruch, M. J. Ascott, D. L. Finney, D. M. J. Macdonald, J. H. Marsham, T. Matthews, C. Murphy
Global efforts to upgrade water, drainage, and sanitation services are hampered by hydrometeorological data-scarcity plus uncertainty about climate change. Intensity–duration–frequency (IDF) tables are used routinely to design water infrastructur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11065d6ce419571de263c78bfd6b4ac9
Autor:
C. W. Dawson
Publikováno v:
Radical Philosophy Today. 5:111-132
Publikováno v:
Journal of Engineering Mathematics. 35:119-134
A possible first step in determining the flow about a steadily advancing ship is to consider the ship plus its mirror image in the undisturbed free surface. If the ship has a bulbous bow, the question may be asked whether a stagnation point can be ex
In this paper we address the difficult problem of gaining an internal, mechanistic understanding of a neural network river forecasting (NNRF) model. Neural network models in hydrology have long been criticised for their black-box character, which pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54810a5ac7d26e366a3e5ca72fce22b6
https://doi.org/10.5194/hessd-10-145-2013
https://doi.org/10.5194/hessd-10-145-2013
Autor:
C W, Dawson, L S, Young
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 174
Publikováno v:
Biochemical Society transactions. 25(4)