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    Application of Integrated Back-Propagation Network and Self-Organizing Map for Groundwater Level Forecasting 

    Source: Journal of Water Resources Planning and Management:;2011:;Volume ( 137 ):;issue: 004
    Author(s): Lu-Hsien Chen; Ching-Tien Chen; Dian-Wei Lin
    Publisher: American Society of Civil Engineers
    Abstract: In this paper, based on the combination of the back-propagation network (BPN) and the self-organizing map (SOM), a groundwater level forecasting model is proposed, named improved multisite SOM-BPN model. In the proposed ...
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    Groundwater Level Prediction Using SOM-RBFN Multisite Model 

    Source: Journal of Hydrologic Engineering:;2010:;Volume ( 015 ):;issue: 008
    Author(s): Lu-Hsien Chen; Ching-Tien Chen; Yan-Gu Pan
    Publisher: American Society of Civil Engineers
    Abstract: In this paper, a groundwater level forecasting model is proposed by combining the theory of self-organizing map (SOM) and radial basis function network (RBFN). The proposed model is referred to as SOM-RBFN model. Recently, ...
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    Analysis of Spatial Scenarios Aiding Decision Making for Regional Irrigation Water-Demand Planning 

    Source: Journal of Irrigation and Drainage Engineering:;2007:;Volume ( 133 ):;issue: 005
    Author(s): Tzai-Hung Wen; Chun-Hung Lin; Ching-Tien Chen; Ming-Daw Su
    Publisher: American Society of Civil Engineers
    Abstract: Regional irrigation water-demand planning is utilized to establish appropriate cropping patterns and estimate irrigation water demand. Although optimization methods have been extensively adopted, uncertainties of meteorological ...
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