Mikhail P. Noskov

Explainable AI for transportation process management: symbolic regression of freight train speeds using Kolmogorov–Arnold networks (KANs)

Purpose This study addresses the black-box problem in railway predictive analytics by applying Kolmogorov–Arnold networks (KANs) to freight train speed prediction. The aim is to obtain not only an accurate forecast, but also an analytical expression that can support transparent o...