Simultaneous hydrological prediction at multiple gauging stations using the NARX network for Kemaman catchment, Terengganu, Malaysia
This paper presents a neural network model capable of catchment-wide simultaneous prediction of river stages at multiple gauging stations. Thirteen meteorological parameters are considered in the input, which includes rainfall, temperature, mean relative humidity and evaporation. The NARX model is t...
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| Format: | Article |
| Language: | English |
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Taylor and Francis Ltd.
2016
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| Online Access: | View Fulltext in Publisher View in Scopus |