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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| Main Authors: | , , , |
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| Format: | Citation Index Journal |
| Published: |
2012
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| Subjects: | |
| Online Access: | 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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