A non-linear neural network technique for updating of river flow forecasts
A non-linear Auto-Regressive Exogenous-input model (NARXM) river flow forecasting output-updating procedure is presented. This updating procedure is based on the structure of a multi-layer neural network. The NARXM-neural network updating procedure is tested using the daily discharge forecasts of th...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2001-01-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | http://www.hydrol-earth-syst-sci.net/5/577/2001/hess-5-577-2001.pdf |
| _version_ | 1819107818824794112 |
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| author | A. Y. Shamseldin A. Y. Shamseldin K. M. O’Connor K. M. O’Connor |
| author_facet | A. Y. Shamseldin A. Y. Shamseldin K. M. O’Connor K. M. O’Connor |
| author_sort | A. Y. Shamseldin |
| collection | DOAJ |
| description | A non-linear Auto-Regressive Exogenous-input model (NARXM) river flow forecasting output-updating procedure is presented. This updating procedure is based on the structure of a multi-layer neural network. The NARXM-neural network updating procedure is tested using the daily discharge forecasts of the soil moisture accounting and routing (SMAR) conceptual model operating on five catchments having different climatic conditions. The performance of the NARXM-neural network updating procedure is compared with that of the linear Auto-Regressive Exogenous-input (ARXM) model updating procedure, the latter being a generalisation of the widely used Auto-Regressive (AR) model forecast error updating procedure. The results of the comparison indicate that the NARXM procedure performs better than the ARXM procedure.</p> <p style='line-height: 20px;'><b>Keywords:</b> Auto-Regressive Exogenous-input model, neural network, output-updating procedure, soil moisture accounting and routing (SMAR) model |
| first_indexed | 2024-12-22T03:00:05Z |
| format | Article |
| id | doaj.art-e1a3d785d93c40109c32e7c4baf14a63 |
| institution | Directory Open Access Journal |
| issn | 1027-5606 1607-7938 |
| language | English |
| last_indexed | 2024-12-22T03:00:05Z |
| publishDate | 2001-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Hydrology and Earth System Sciences |
| spelling | doaj.art-e1a3d785d93c40109c32e7c4baf14a632022-12-21T18:41:11ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382001-01-0154577598A non-linear neural network technique for updating of river flow forecastsA. Y. ShamseldinA. Y. ShamseldinK. M. O’ConnorK. M. O’ConnorA non-linear Auto-Regressive Exogenous-input model (NARXM) river flow forecasting output-updating procedure is presented. This updating procedure is based on the structure of a multi-layer neural network. The NARXM-neural network updating procedure is tested using the daily discharge forecasts of the soil moisture accounting and routing (SMAR) conceptual model operating on five catchments having different climatic conditions. The performance of the NARXM-neural network updating procedure is compared with that of the linear Auto-Regressive Exogenous-input (ARXM) model updating procedure, the latter being a generalisation of the widely used Auto-Regressive (AR) model forecast error updating procedure. The results of the comparison indicate that the NARXM procedure performs better than the ARXM procedure.</p> <p style='line-height: 20px;'><b>Keywords:</b> Auto-Regressive Exogenous-input model, neural network, output-updating procedure, soil moisture accounting and routing (SMAR) modelhttp://www.hydrol-earth-syst-sci.net/5/577/2001/hess-5-577-2001.pdf |
| spellingShingle | A. Y. Shamseldin A. Y. Shamseldin K. M. O’Connor K. M. O’Connor A non-linear neural network technique for updating of river flow forecasts Hydrology and Earth System Sciences |
| title | A non-linear neural network technique for updating of river flow forecasts |
| title_full | A non-linear neural network technique for updating of river flow forecasts |
| title_fullStr | A non-linear neural network technique for updating of river flow forecasts |
| title_full_unstemmed | A non-linear neural network technique for updating of river flow forecasts |
| title_short | A non-linear neural network technique for updating of river flow forecasts |
| title_sort | non linear neural network technique for updating of river flow forecasts |
| url | http://www.hydrol-earth-syst-sci.net/5/577/2001/hess-5-577-2001.pdf |
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