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cs.AI2023
Deep active learning for nonlinear system identification
Erlend Torje Berg Lundby, Adil Rasheed, Ivar Johan Halvorsen +3
The exploding research interest for neural networks in modeling nonlinear dynamical systems is largely explained by the networks' capacity to model complex input-output relations d…
eess.SY2023
Sparse neural networks with skip-connections for identification of aluminum electrolysis cell
Erlend Torje Berg Lundby, Haakon Robinsson, Adil Rasheed +2
Neural networks are rapidly gaining interest in nonlinear system identification due to the model's ability to capture complex input-output relations directly from data. However, de…