River flow forecasting using an integrated approach of wavelet analysis and artificial neural networks
The need for accurate river flow forecasting model has grown rapidly in the past decades for achieving better risk-based water resources planning due to issues like water demand increase or climate change. In this paper a hybrid Wavelet-Neural Networks (WNN) is developed to predict daily river flow....
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| Format: | Conference Paper |
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Engineers Australia
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/34466 |