Finite element analysis of structures based on linear saturated system model

被引：0
|
作者：
Li, HB [1 ]
Huang, HZ
Zhao, MY
机构：
[1] Dalian Univ Technol, Sch Mech Engn, Dalian 116023, Peoples R China
[2] Chinese Acad Sci, Shengyang Inst Automat, Shenyang 110015, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 2 | 2004年 / 3174卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
According to the property that global stiff matrix is positive definite after being adjusted and specific formation of elastomer potential energy function, linear saturated system model (LSSM) is introduced into finite element neurocomputing. Based on the neural network, a circuit implementation of an example is given and the time, error characteristic and simulation of the circuit are analysed.
引用
收藏
页码：820 / 825
页数：6
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