Neural networks based nonlinear time series regression for water level forecasting of Dungun River
The Department of Irrigation and Drainage (DID) Malaysia and Meteorological Malaysia Department (MMD) has been measured the flood characteristics benchmark which included water level, area inundation, peak inundation, peak discharge, volume of flow and duration of flooding. In terms of water levels,...
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| Main Authors: | , |
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| Format: | Article |
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Science Publications
2012
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| Online Access: | http://eprints.utm.my/id/eprint/32961/ http://thescipub.com/abstract/10.3844/jcssp.2012.1506.1513 |
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