摘要
利用误差反向传播网络的算法,探讨了人工神经网络在网壳结构稳定性计算中的应用.分析结果表明,人工神经网络可以很好地预测网壳结构的极限承载力,并且优于回归计算公式。
Using algorithm of hack-propagation network, the author discusses the application of artificial neural network on stability analysis of latticed shell. The result indicates that, using artificial neural network, it is precise to predict the nonlinear ultimate carrying capacity and the result is better than that of the regression formula.
出处
《扬州大学学报（自然科学版）》
CAS
CSCD
2003年第4期71-73,共3页
Journal of Yangzhou University：Natural Science Edition
基金
江苏省自然科学基金(BJ99006)
关键词
人工神经网络
误差反向传播算法
网壳结构
极限承载力
artificial neural network
back-propagation algorithm
latticed shell
ultimate carrying capacitycapacity
