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 ...
A new neural architecture converts the classical Volterra series into learnable coefficient tensors, recovering known chaotic dynamics, matching transformer physics, and rivaling black-box forecasters ...
Researchers have trained a two-hidden-layer neural network with Levenberg–Marquardt backpropagation to accurately approximate ...
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