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cs.LG2026
Deep Learning for Model Calibration in Simulation of Itaconic Acid Production
Daria Fokina, Marco Baldan, Constantin Romankiewicz +3
In this study, deep learning is used to estimate kinetic parameters for modeling itaconic acid production based on real batch experiments conducted at different agitation speeds an…
cs.LG2019★ 1 cited
Growing axons: greedy learning of neural networks with application to function approximation
Daria Fokina, Ivan Oseledets
We propose a new method for learning deep neural network models that is based on a greedy learning approach: we add one basis function at a time, and a new basis function is genera…