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 :
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