[1]韦鹏生.用结构可控神经网络作结构分析[J].华侨大学学报(自然科学版),1998,19(3):275-279.[doi:10.11830/ISSN.1000-5013.1998.03.0275]
 Wei Pengsheng.Structural Analysis by Using Structural Controllable Neural Network[J].Journal of Huaqiao University(Natural Science),1998,19(3):275-279.[doi:10.11830/ISSN.1000-5013.1998.03.0275]
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用结构可控神经网络作结构分析()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第19卷
期数:
1998年第3期
页码:
275-279
栏目:
出版日期:
1998-07-20

文章信息/Info

Title:
Structural Analysis by Using Structural Controllable Neural Network
作者:
韦鹏生
华侨大学土木工程系
Author(s):
Wei Pengsheng
关键词:
结构分析 神经网络 学习算法
Keywords:
structural analysis neural network learning algorithm
分类号:
TU12
DOI:
10.11830/ISSN.1000-5013.1998.03.0275
摘要:
构造一个的结构可控的前向神经网络,并应用于结构位移法方程的求解.采用动态的网络学习算法,使该网络得以更快速度收敛.数值模拟证明,用这种加速的神经网络求解线性方程,其收敛速度优于传统的高斯-赛德尔迭代法
Abstract:
A structural controllable neural network, or SCNN for short, is constructed and applied to the solution of structural stiffness equations. This SCNN can be converged in faster speed by means of dynamic learning algorithm. As proved by numerical simulation

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备注/Memo

备注/Memo:
福建省自然科学基金
更新日期/Last Update: 2014-03-22