Researchers combined an optimized gradient-boosting model, SHAP explainability, and symbolic regression to derive an explicit ...

This paper proposes a new multi-echelon 4-D chaotic supply chain model (NME-4D-CSCM) incorporating a sinusoidal nonlinearity to better represent uncertainties in supply chain dynamics. The model ...

Researchers at the University of Tsukuba have created a new method for deriving approximate linear equations to complicated nonlinear problems. Using simulation results, they show that the model ...

Researchers have trained a two-hidden-layer neural network with Levenberg–Marquardt backpropagation to accurately approximate ...