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River Suspended Sediment Prediction Using Various Multilayer Perceptron Neural Network Training Algorithms—A Case Study in Malaysia

Estimation of suspended sediment discharge in rivers has a vital role in dealing with water resources problems and hydraulic structures. In this study, a Multilayer Perceptron (MLP) feed forward neural network with four different training algorithms was used to predict the suspended sediment discha...

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書誌詳細
主要な著者:	Mustafa, M.R., Rezaur, R.B., Saiedi, Saied, Isa, M.H.
フォーマット:	Citation Index Journal
出版事項:	2012
主題:	TC Hydraulic engineering. Ocean engineering
オンライン･アクセス:	http://eprints.utp.edu.my/10771/1/River%20suspended%20sediment%20prediction%20using%20various%20multilayer%20perceptron%20neural%20network%20training%20algorithms%20-%20A%20case%20study%20in%20Malaysia.pdf http://eprints.utp.edu.my/10771/
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