Ultimate compressive strength prediction for stiffened panels by counterpropagation neural networks (CPN)

被引：0
|
作者：
Wei, D [1 ]
Zhang, SK [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Naval Architecture & Ocean Engn, Shanghai 200030, Peoples R China
来源：
CHINA OCEAN ENGINEERING | 1999年 / 13卷 / 03期
关键词：
stiffened panels; ultimate strength; counterpropagation neural networks;
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Stiffened Panels are important strength members in ship and offshore structures. A new method based on counterpropagation neural networks (CPN) is proposed in this paper to predict the ultimate compressive strength of stiffened panels. Compared with two-parametric polynomial, this method can take more parameters into account and make more use of experimental data. Numerical study is carried out to verify the validation of this method. The new method may find wide application in practical design.
引用
收藏
页码：335 / 342
页数：8
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