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Application of neural networks to identification of nonlinear characteristics in cushioning packaging
Authors:Yanchun Liang  Xiaowei Yang  Chunguang Zhou  Zaishen Wang
Affiliation:

a Department of Mathematics, Jilin University, Changchun, 130023, P.R. China

b Department of Computer Science, Jilin University, Changchun, 130023, P.R. China

c Open Laboratory of CAD/CAM Technology for Advanced Manufacturing, Academia Sinica, Shenyang, 110003, P.R. China

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.
Keywords:cushioning packaging   cushioning liner material   nonlinear characteristics   model identification   artificial neural networks
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