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    Determination of Input for Artificial Neural Networks for Flood Forecasting Using the Copula Entropy Method 

    Source: Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 011
    Author(s): Lu Chen; Lei Ye; Vijay Singh; Jianzhong Zhou; Shenglian Guo
    Publisher: American Society of Civil Engineers
    Abstract: Artificial neural networks (ANNs) have proved to be an efficient alternative to traditional methods for hydrological modeling. One of the most important steps in the ANN development is the determination of significant input ...
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    Flash Flood Peak Estimation in Small Mountainous Catchments Based on Distributed Geomorphological Unit Hydrographs Using Fuzzy C-Means Clustering 

    Source: Journal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 012
    Author(s): Jian Wu; Haixing Liu; Guozhen Wei; Guangtao Fu; Momcilo Markus; Lei Ye; Chi Zhang; Huicheng Zhou
    Publisher: ASCE
    Abstract: The peak flow of a flash flood is an important factor concerning flood risk management. Empirical approaches based on measured hydrological data at gauging sites can be applied to estimate flood peaks; however, they are ...
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