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    Performance Evaluation of Artificial Neural Networks for Runoff Prediction 

    Source: Journal of Hydrologic Engineering:;2000:;Volume ( 005 ):;issue: 004
    Author(s): Amin Elshorbagy; S. P. Simonovic; U. S. Panu
    Publisher: American Society of Civil Engineers
    Abstract: Spring runoff prediction in the Red River Valley, southern Manitoba, Canada, is an important issue because of the devastating effect of the flood of 1997 in that area. Increasing the accuracy of the prediction process is ...
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    Comparative Studies in Problems of Missing Extreme Daily Streamflow Records 

    Source: Journal of Hydrologic Engineering:;2009:;Volume ( 014 ):;issue: 001
    Author(s): W. W. Ng; U. S. Panu; W. C. Lennox
    Publisher: American Society of Civil Engineers
    Abstract: This study evaluates the performance of different estimation techniques for the infilling of missing observations in extreme daily hydrologic series. Generalized regression neural networks (GRNNs) are proposed for the ...
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