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

• Main Authors: Mustafa, M.R., Rezaur, R.B., Saiedi, Saied, Isa, M.H.
• Format: Citation Index Journal
• Published: 2012
• Subjects: TC Hydraulic engineering. Ocean engineering
• 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/

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...