中国机械工程2012，Vol.23Issue(17)：2122-2127,6.DOI:10.3969/j.issn.1004-132X.2012.17.022
基于BP神经网络的侧碰多目标优化设计
Multi—objective Optimization of Side Impact Based on BP Network Model
摘要
Abstract
The sampling data of thickness and material of automobile's side body key absorbing energy parts were obtained by the latin experimental design method. By combining approximate technology and multi -objective genetic algorithm, a multi -objective optimization method of side impact structure was established based on BP network model. The results show that: this method meets the requirements of GB20071, it improves the side structure's occupant protection capability, and a-chieves the lightweight objective, the accuracy and efficiency of BP network model meet the requirements of engineering design.关键词
轻量化/拉丁方试验设计/近似技术/BP神经网络/多目标遗传算法Key words
lightweight/ latin experimental design/ approximate technology/ BP network/ multi - objective genetic algorithm分类
交通工程引用本文复制引用
周利辉,成艾国,陈涛,赵敏,周泽..基于BP神经网络的侧碰多目标优化设计[J].中国机械工程,2012,23(17):2122-2127,6.基金项目
湖南大学汽车车身先进设计制造国家重点实验室自主研究课题资助项目(60870002) （60870002）
噪声振动和安全技术国家重点汽车实验室2011年度开放基金资助项目(NVHSKL—201103) （NVHSKL—201103）
