Title :
Research on groundwater Level Prediction of Naoli River Basin based on Elman wavelet neural networks
Author_Institution :
Shandong Inst. of Bus. & Technol., Coll. of Manage. & Sci., Yantai, China
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;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5769201