Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series
Accurate runoff forecasting plays a key role in catchment water management and water resources system planning. To improve the prediction accuracy, one needs to strive to develop a reliable and accurate forecasting model for streamflow. In this study, the novel combination of the adaptive neuro-fuzz...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Published: |
Taylor & Francis
2020
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/37621/ |
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| Institution: | Universiti Malaya |