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    M5 Model Trees and Neural Networks: Application to Flood Forecasting in the Upper Reach of the Huai River in China 

    Source: Journal of Hydrologic Engineering:;2004:;Volume ( 009 ):;issue: 006
    Author(s): Dimitri P. Solomatine; Yunpeng Xue
    Publisher: American Society of Civil Engineers
    Abstract: The applicability and performance of the so-called M5 model tree machine learning technique is investigated in a flood forecasting problem for the upper reach of the Huai River in China. In one of configurations this ...
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    Groundwater Remediation Strategy Using Global Optimization Algorithms 

    Source: Journal of Water Resources Planning and Management:;2002:;Volume ( 128 ):;issue: 006
    Author(s): Shreedhar Maskey; Andreja Jonoski; Dimitri P. Solomatine
    Publisher: American Society of Civil Engineers
    Abstract: The remediation of groundwater contamination by pumping and injection is generally a long-term and costly strategy. Aquifer cleanup time is a highly nonlinear and nonconvex function of pumping rates. The cleanup objective ...
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    Neural Networks and Fuzzy Systems in Model Based Control of the Overwaard Polder 

    Source: Journal of Water Resources Planning and Management:;2005:;Volume ( 131 ):;issue: 002
    Author(s): Arnold H. Lobbrecht; Yonas B. Dibike; Dimitri P. Solomatine
    Publisher: American Society of Civil Engineers
    Abstract: Recent developments in the field of computational intelligence (CI) techniques are helping to solve various problems of water resources modeling and management. These techniques have also shown their potential as an ...
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