Bin Fu

Hybrid modelling of hot-rolling force prediction based on PSO-optimised physical parameters and SSA-BP neural network

Accurate rolling force prediction is critical for hot-rolling control, yet conventional models are oversimplified and data-driven approaches lack interpretability. Hybrid methods, despite their potential, remain constrained by the accuracy of key physical parameters. To address this, the present study proposes a doub...