150 citations · 242 across the 15 of their papers we have counts for
3 papers · 1 filter
Multi-task and few-shot learning in virtual flow metering
Kristian Løvland, Bjarne Grimstad, Lars S. Imsland
Recent literature has explored various ways to improve soft sensors by utilizing learning algorithms with transferability. A performance gain is generally attained when knowledge i…
Sequential Monte Carlo applied to virtual flow meter calibration
Anders T. Sandnes, Bjarne Grimstad, Odd Kolbjørnsen
Soft-sensors are gaining popularity due to their ability to provide estimates of key process variables with little intervention required on the asset and at a low cost. In oil and…
Multi-task neural networks by learned contextual inputs
Anders T. Sandnes, Bjarne Grimstad, Odd Kolbjørnsen
This paper explores learned-context neural networks. It is a multi-task learning architecture based on a fully shared neural network and an augmented input vector containing traina…