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