Hopfield neuron based nonlinear constrained programming to fuzzy structural engineering optimization

被引：1
作者：
Shih, CJ [1 ]
Chang, CC [1 ]
机构：
[1] Tamkang Univ, Dept Engn Mech, Tamsui 25137, Taiwan
来源：
STRUCTURAL ENGINEERING AND MECHANICS | 1999年 / 7卷 / 05期
关键词：
Hopfield-Tank neural networks; Hopfield neuron based optimization; engineering optimization; structural optimization; fuzzy optimization; nonlinear programming;
D O I：
10.12989/sem.1999.7.5.485
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Using the continuous Hopfield network model as the basis to solve the general crisp and fuzzy constrained optimization problem is presented and examined. The model lies in its transformation to a parallel algorithm which distributes the work of numerical optimization to several simultaneously computing processors. The method is applied to different structural engineering design problems that demonstrate this usefulness, satisfaction or potential. The computing algorithm has been given and discussed for a designer who can program it without difficulty.
引用
收藏
页码：485 / 502
页数：18
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