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    Modified Relative Strength Effect to Facilitate Artificial Neural Network Development for Hydrologic Data 

    Source: Journal of Hydrologic Engineering:;2013:;Volume ( 018 ):;issue: 012
    Author(s): Alfie Ningyu Song; V. Chandramouli
    Publisher: American Society of Civil Engineers
    Abstract: A new index called a modified relative strength effect (RSE) is developed for determining the influence of an input in an artificial neural network (ANN) model. This modified RSE, which is an improvement over the usual ...
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    Analyzing Inflow Trend of Indiana Reservoirs Using SOM 

    Source: Journal of Hydrologic Engineering:;2012:;Volume ( 017 ):;issue: 008
    Author(s): Alfie Ningyu Song; V. Chandramouli; Nimisha Gupta
    Publisher: American Society of Civil Engineers
    Abstract: Inflows to reservoir systems are affected by climatic changes. In the past, regional inflow trend analyses were conducted using statistical approaches. This research made use of an artificial intelligence technique called ...
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