节点文献
基于神经网络的桁架结构优化设计
Optimization Design of Truss Based on Neural Network (NN)
【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·
【Abstract】 The structural optimization technique was briefly described. The basic principle of neural-network-based complex-structure optimization design was introduced. A simulated annealing algorithm was given to solve neural network-based complex-structure optimization design. Two examples were given to illustrate the efficiency of the given method. This method is more effective and accurate than other optimization methods.
【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;
【Key words】 neural network; structural optimization design; truss; simulated annealing algorithm; computational intelligence; objective function;
【Key words】 neural network; structural optimization design; truss; simulated annealing algorithm; computational intelligence; objective function;
【基金】 教育部留学回国人员启动基金资助项目 ( [2 0 0 2 ] 2 47) ;建设部科技攻关项目 ( [2 0 0 0 ] 0 34,0 2 2 1.3)
- 【文献出处】 东北大学学报 ,JOURNAL OF NORTHEASTERN UNIVERSITY , 编辑部邮箱 ,2003年02期
- 【分类号】TP183
- 【被引频次】31
- 【下载频次】452