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

被引：12

作者：

Liang, YC

Yang, XW

Zhon, C

Wang, ZS

机构：

[1] JILIN UNIV,DEPT COMP SCI,CHANGCHUN 130023,PEOPLES R CHINA

[2] ACAD SINICA,OPEN LAB CAD CAM TECHNOL ADV MFG,SHENYANG 110003,PEOPLES R CHINA

来源：

MECHANICS RESEARCH COMMUNICATIONS | 1996年 / 23卷 / 06期

关键词：

cushioning packaging; cushioning liner material; nonlinear characteristics; model identification; artificial neural networks;

D O I：

10.1016/S0093-6413(96)00065-1

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

摘要：

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. Copyright (C) 1996 Elsevier Science Ltd

引用

页码：607 / 613

页数：7

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[4]

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