DocumentCode :
3732207
Title :
Wavelet Neural Network in the Design and Application of Hydrological Forecast
Author :
Hu Fengqi; Sun Lijuan
Author_Institution :
Hydrol. &
fYear :
2015
Firstpage :
1004
Lastpage :
1006
Abstract :
With the continuous development of national economy, water resources has become more and more an important part of social and economic development, the research of water resources related issues has vital practical significance. Combining the theory of wavelet and neural network to their advantages, based on the theory of wavelet neural network prediction model is established, using the nonlinear simulation ability of the wavelet neural network reservoir prediction research of annual runoff, good simulation and prediction results have been achieved.
Keywords :
"Transportation","Big data","Smart cities"
Publisher :
ieee
Conference_Titel :
Intelligent Transportation, Big Data and Smart City (ICITBS), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICITBS.2015.254
Filename :
7384200
Link To Document :
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