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Daniel T. Feinstein
University of Wisconsin–Milwaukee
6Publications
3H-index
31Citations
Publications 6
Newest
#1Daniel T. Feinstein (UWM: University of Wisconsin–Milwaukee)H-Index: 3
#2David J. HartH-Index: 10
Last.Michael N. Fienen (USGS: United States Geological Survey)H-Index: 24
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Source
#1Michael N. Fienen (USGS: United States Geological Survey)H-Index: 24
#2Bernard T. Nolan (USGS: United States Geological Survey)H-Index: 24
Last.Daniel T. Feinstein (UWM: University of Wisconsin–Milwaukee)H-Index: 3
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For decision support, the insights and predictive power of numerical process models can be hampered by insufficient expertise and computational resources required to evaluate system response to new stresses. An alternative is to emulate the process model with a statistical "metamodel." Built on a dataset of collocated numerical model input and output, a groundwater flow model was emulated using a Bayesian Network, an Artificial neural network, and a Gradient Boosted Regression Tree. The response...
20 CitationsSource
#1Howard W. ReevesH-Index: 14
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#1Daniel T. Feinstein (UWM: University of Wisconsin–Milwaukee)H-Index: 3
#2Weixing GuoH-Index: 1
8 CitationsSource
#1Randall J. HuntH-Index: 1
Last.Matthew AndersonH-Index: 1
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3 Citations
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1