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    Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall 

    Source: Journal of Hydrologic Engineering:;2013:;Volume ( 018 ):;issue: 001
    Author(s): M. R. Mustafa; R. B. Rezaur; S. Saiedi; H. Rahardjo; M. H. Isa
    Publisher: American Society of Civil Engineers
    Abstract: Knowledge of pore-water pressure responses to rainfall is vital in slope failure and slope hydrological studies. The performance of four artificial neural network (ANN) training algorithms was evaluated to identify the ...
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    Closure to “Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall” by M. R. Mustafa, R. B. Rezaur, S. Saiedi, H. Rahardjo, and M. H. Isa 

    Source: Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 006
    Author(s): M. R. Mustafa; R. B. Rezaur; H. Rahardjo; M. H. Isa
    Publisher: American Society of Civil Engineers
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