Sparse neural networks with skip-connections for identification of aluminum electrolysis cell

no code implementations • 2 Jan 2023 • Erlend Torje Berg Lundby, Haakon Robinsson, Adil Rasheed, Ivar Johan Halvorsen, Jan Tommy Gravdahl

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.