Application of neural networks to identification of nonlinear characteristics in cushioning packaging

Abstract The structural neural network method is applied to the identification of nonlinear characteristics of cushioning liners in cushioning packaging. The simulated results on the two typical cushioning liner models show that the nonlinear characteristics can be identified perfectly.