Nonlinear forecasting of stream flows using a chaotic approach and artificial neural networks
This paper evaluates the forecasting performance of two nonlinear models, k-nearest neighbor (kNN) and feed-forward neural networks (FFNN), using stream flow data of the Kızılırmak River, the longest river in Turkey. For the kNN model, the required parameters are delay time, number of nearest neigh-...
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| Format: | Article |
| Language: | English |
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Universidad Nacional de Colombia
2013-07-01
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| Series: | Earth Sciences Research Journal |
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| Online Access: | https://revistas.unal.edu.co/index.php/esrj/article/view/37073 |