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2022-086 - Incorporating Physical Functions into Neural Networks by Selective Training

Predictive modeling of subsurface flow systems Abstract USC researchers have developed an artificial neural network that incorporates statistical information from physical functions that can be used for predictive modeling of subsurface flow systems. The technique involves a two-step training process that allows the neural network to learn based...