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将结构化神经网络方法用于包装件缓冲垫层非线性特性识别问题，对于两种典型的包装件缓冲垫层材料模型的模拟识别结果表明，据此方法可以较好地获得其非线性特性。
Using the structured neural network method to identify the nonlinear characteristics of the cushioning cushion, the simulation results of two typical cushioning cushion material models show that the nonlinear characteristics of the cushioning cushion can be obtained well.