起重运输机械Issue(8)：61-65,5.
基于神经网络和遗传算法的两跨箱形结构优化设计
高海龙 1田华 1陈贤飞1
作者信息
- 1. 北京国电富通科技发展有限责任公司 北京 100070
- 折叠
摘要
Abstract
The design method of Ansys command stream and uniform experiment is used to provide sample data for the neural network training, and the problem of optimizing the constrained structure is successfully solve by effectively combi-ning the genetic algorithm and the neural network. The feasibility and practicability of the optimal structural design is veri-fied using the collaborative optimization method of the neural network and the genetic algorithm.关键词
动态优化设计/Ansys/遗传算法/神经网络/优化Key words
dynamic optimal design/Ansys/genetic algorithm/neural network/optimization分类
信息技术与安全科学引用本文复制引用
高海龙,田华,陈贤飞..基于神经网络和遗传算法的两跨箱形结构优化设计[J].起重运输机械,2016,(8):61-65,5.
