Rainfall runoff modeling by multilayer perceptron neural network for LUI river catchment
Reliable modeling for the rainfall-runoff processes embedded with high complexity and non-linearity can overcome the problems associated with managing a watershed. Physically based rainfall-runoff models need many realistic physical components and parameters which are sometime missing and hard to be...
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主要な著者: | Nawaz, Nadeem, Harun, Sobri, Othman, Rawshan, Heryansyah, Arien |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
Penerbit UTM
2016
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主題: | |
オンライン・アクセス: | http://eprints.utm.my/id/eprint/70359/1/NadeemNawaz2016_Rainfallrunoffmodelingbymultilayer.pdf http://eprints.utm.my/id/eprint/70359/ https://dx.doi.org/10.11113/jt.v78.9230 |
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