东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2003, Vol. 24 ›› Issue (2): 166-169.DOI: -

• 论著 • 上一篇    下一篇

基于神经网络的桁架结构优化设计

姜绍飞;贾连光;于军   

  1. 东北大学资源与土木工程学院;沈阳建筑工程学院土木系;沈阳经济技术开发区建设工程质量监督站 辽宁沈阳110004
  • 收稿日期:2013-06-23 修回日期:2013-06-23 出版日期:2003-02-15 发布日期:2013-06-23
  • 通讯作者: Jiang, S.-F.
  • 作者简介:-
  • 基金资助:
    教育部留学回国人员启动基金资助项目 ( [2 0 0 2 ] 2 47) ;;

Optimization design of truss based on neural network

Jiang, Shao-Fei (1); Jia, Lian-Guang (2); Yu, Jun (3)   

  1. (1) Sch. of Resource and Civil Eng., Northeastern Univ., Shenyang 110004, China; (2) Dept. of Civil Eng., Shenyang Arch. and Civil Eng. Inst., Shenyang 110015, China; (3) Shenyang Econ. Tech. Devmt. Zone, Shenyang 110141, China
  • Received:2013-06-23 Revised:2013-06-23 Online:2003-02-15 Published:2013-06-23
  • Contact: Jiang, S.-F.
  • About author:-
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摘要： 阐述了基于神经网络的结构优化设计原理 ,提出了基于神经网络的结构优化设计的模拟退火算法 ,为了提高模拟退火算法的收敛速度 ,提出了改进的惩罚算子计算公式·用两个桁架结构的优化设计算例验证了所提方法的有效性与准确性·研究结果表明 ,该方法较之其他优化方法更准确 ,更有效·

关键词: 神经网络, 结构优化设计, 桁架, 模拟退火算法, 计算智能, 目标函数

Abstract: The structural optimization technique was described. The basic principle of neural-network-based complex-structure optimization design was introduced. A simulated annealing algorithm was presented. Two examples were given for the optimization design of truss based on neural network to illustrate the efficiency of the given method. This method is more effective and accurate than other optimization methods.

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