caa a22 4500 445874597 CHVBK 20180317145524.0 cr unu---uuuuu 170323e20110601xx s 000 0 eng 10.1007/s10652-010-9177-9 doi (NATIONALLICENCE)springer-10.1007/s10652-010-9177-9 Prediction of total bed material load for rivers in Malaysia: A case study of Langat, Muda and Kurau Rivers [Elektronische Daten] [Aminuddin Ab. Ghani, H. Azamathulla, Chun Chang, Nor Zakaria, Zorkeflee Hasan] A soft computational technique is applied to predict sediment loads in three Malaysian rivers. The feed forward-back propagated (schemes) artificial neural network (ANNs) architecture is employed without any restriction to an extensive database compiled from measurements in Langat, Muda, Kurau different rivers. The ANN method demonstrated a superior performance compared to other traditional sediment-load methods. The coefficient of determination, 0.958 and the mean square error 0.0698 of the ANN method are higher than those of the traditional method. The performance of the ANN method demonstrates its predictive capability and the possibility of generalization of the modeling to nonlinear problems for river engineering applications. Springer Science+Business Media B.V., 2010 Alluvial channels nationallicence Artificial neural network nationallicence Total-sediment load nationallicence River engineering nationallicence Sediment transport nationallicence Ab. Ghani Aminuddin River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300, Nibong Tebal, Penang, Malaysia aut Azamathulla H. River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300, Nibong Tebal, Penang, Malaysia aut Chang Chun River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300, Nibong Tebal, Penang, Malaysia aut Zakaria Nor River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300, Nibong Tebal, Penang, Malaysia aut Hasan Zorkeflee River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300, Nibong Tebal, Penang, Malaysia aut Environmental Fluid Mechanics Springer Netherlands 11/3(2011-06-01), 307-318 1567-7419 11:3<307 2011 11 10652 https://doi.org/10.1007/s10652-010-9177-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10652-010-9177-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ab. Ghani Aminuddin River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300, Nibong Tebal, Penang, Malaysia aut NATIONALLICENCE 700 1- Azamathulla H. River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300, Nibong Tebal, Penang, Malaysia aut NATIONALLICENCE 700 1- Chang Chun River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300, Nibong Tebal, Penang, Malaysia aut NATIONALLICENCE 700 1- Zakaria Nor River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300, Nibong Tebal, Penang, Malaysia aut NATIONALLICENCE 700 1- Hasan Zorkeflee River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300, Nibong Tebal, Penang, Malaysia aut NATIONALLICENCE 773 0- Environmental Fluid Mechanics Springer Netherlands 11/3(2011-06-01), 307-318 1567-7419 11:3<307 2011 11 10652 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer