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    River Stage Forecasting Using Artificial Neural Networks 

    Source: Journal of Hydrologic Engineering:;1998:;Volume ( 003 ):;issue: 001
    Author(s): Konda Thirumalaiah; M. C. Deo
    Publisher: American Society of Civil Engineers
    Abstract: Methods to continuously forecast water levels at a site along a river are generally model based. Physical processes influencing occurrence of a river stage are, however, highly complex and uncertain, which makes it difficult ...
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    Hydrological Forecasting Using Neural Networks 

    Source: Journal of Hydrologic Engineering:;2000:;Volume ( 005 ):;issue: 002
    Author(s): Konda Thirumalaiah; Makarand C. Deo
    Publisher: American Society of Civil Engineers
    Abstract: Operational planning of water resources systems like reservoirs and power plants calls for real-time or on-line forecasting of runoff and river stage. Most of the real-time forecasting models used in the past are of the ...
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