| 基于SCNN的有限元总刚方程求解 |
| |
| 引用本文： | 孙道恒,胡俏,徐灏.基于SCNN的有限元总刚方程求解[J].东北大学学报(自然科学版),1996(6). |
| |
| 作者姓名： | 孙道恒 胡俏 徐灏 |
| |
| 作者单位： | 东北大学机械工程学院 |
| |
| 摘 要： | 基于ＳＣＮＮ，提出了一个解有限元总刚方程的神经网络模型和实施方案．计算实例表明，基于ＳＣＮＮ的计算结果令人满意，计算时间为电路时常数数量级，可用于复杂工程结构和复杂力学行为的分析与计算
|
| 关 键 词： | 神经网络，有限元，线性方程组 |
Solving of the Total Stiffness Equations of Finite Element Based on the SCNN |
| |
| Sun Daoheng,Hu Qiao,Xu Hao.Solving of the Total Stiffness Equations of Finite Element Based on the SCNN[J].Journal of Northeastern University(Natural Science),1996(6). |
| |
| Authors: | Sun Daoheng Hu Qiao Xu Hao |
| |
| Abstract: | Based on the SCNN (Structural Controlled Neural Networks), a new model used to solve the total stiffness equations was proposed, and the architecture of the neural networks applied was discussed. An example shows that the computational conclusion is in agreement with the real solutions, the consumed time is in an elapsed time of the circuit time constant(ns). It can be widely used in analysis and computation of the complex mechanical behavior. |
| |
| Keywords: | neural networks finite element linear equations |
| 本文献已被 CNKI 等数据库收录！ |
