A comparison of artificial neural networks for prediction of suspended sediment discharge in river - A case study in Malaysia
Prediction of highly non linear behavior of suspended sediment flow in rivers has prime importance in the field of water resources engineering. In this study the predictive performance of two Artificial Neural Networks (ANNs) namely, the Radial Basis Function (RBF) Network and the Multi Layer Feed...
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| Main Authors: | , , |
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| Format: | Citation Index Journal |
| Published: |
WASET Journal
2011
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| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/6534/1/A_comparison_of_artificial_neural_networks_for_prediction_of_suspended_sediment_discharge_in_river_-_A_case_study_in_Malaysia.pdf http://eprints.utp.edu.my/6534/ |
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