DocumentCode
3167095
Title
Research on groundwater Level Prediction of Naoli River Basin based on Elman wavelet neural networks
Author
Chang-you, Wu
Author_Institution
Shandong Inst. of Bus. & Technol., Coll. of Manage. & Sci., Yantai, China
fYear
2011
fDate
16-18 April 2011
Firstpage
2504
Lastpage
2507
Abstract
This paper researches on Elman neural network and wavelet analysis based on the existing literatures and proposes the Elman wavelet neural network model. This paper also provides Elman neural network training process to apply it to groundwater Level Prediction of Naoli River Basin. This paper proposes groundwater level prediction model of Naoli River basin based on Elman wavelet neural networks. It can be seen that the model has high prediction accuracy and faster convergence according to the prediction results.
Keywords
groundwater; learning (artificial intelligence); natural sciences computing; neural nets; rivers; wavelet transforms; Elman wavelet neural network training; Naoli river basin; groundwater level prediction; Artificial neural networks; Biological system modeling; Fitting; Predictive models; Rivers; Water resources; Wavelet analysis; Elman wavelet neural network; exploitation; groundwater;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location
XianNing
Print_ISBN
978-1-61284-458-9
Type
conf
DOI
10.1109/CECNET.2011.5769201
Filename
5769201
Link To Document