River flow forecasting using an integrated approach of wavelet analysis and artificial neural networks

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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Bibliographic Details
Main Authors: Badrzadeh, Honey, Sarukkalige, Priyantha Ranjan
Other Authors: Grantley Smith
Format: Conference Paper
Published: Engineers Australia 2012
Subjects:
time series
river flow forecasting
artificial neural network
discrete wavelet transformation
Online Access:http://hdl.handle.net/20.500.11937/34466

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