Please wait a minute...
工程设计学报
工程设计学报  2007, Vol. 14 Issue (3): 199-203    
工程设计理论、方法与技术     
基于BP神经网络的ETO产品配置设计方法
丁俊健，谈士力，宋晓峰，孙亚杰
上海大学 机电工程与自动化学院， 上海 200072
Configuration design based on BP neural network for ETO product
DING  Jun-Jian,TAN  Shi-Li,SONG  Xiao-Feng,SUN  Ya-Jie
School of Mechanical & Electronic Engineering and Automation, Shanghai University, Shanghai 200072, China
 全文: PDF(434 KB)   HTML
摘要： 按订单设计(engineering-to-order, ETO)的定制产品因产品族结构比较复杂，产品间结构差异较大，设计过程涉及个人经验和灵感，并大量应用人机交互处理，难以实现设计自动化、程序化。人工神经网络模仿人脑结构及智能行为，具有大规模并行处理、容错、自组织和自适应能力及联想功能，符合ETO配置设计的特点。通过对ETO定制产品需求的分析，构建并训练具有一定结构和功能的BP神经网络，训练好的网络蕴含着ETO配置设计规则和经验。实例证明了该方法的可行性。
关键词： 按订单设计;  人工神经网络;  配置设计    
Abstract: Customized product of ETO (engineering-to-order) is hard to program and realize to automation due to the complex structure of its product family, bigdifference between product structures, involvement of personal experience and inspiration during design process, and a large amount of interaction between human and machine. Artificial neural network can simulate the structure of human brain and intelligent behavior, and have the ability of parallel processing, redundancy, self-organization, self-adaptation and association, which accords with the features of configuration design. Through analysis of ETO customized product requirements, a BP artificial neural network with some structure and function isestablished and trained. The trained network contains rules and experiences of ETO configuration design. Illustrations have demonstrated its feasibility.
Key words: engineering-to-order    artifical neural networks    configuration design
出版日期: 2007-06-28
基金资助:

上海汽车工业科技发展基金资助项目(0212)
服务　　
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章　　

引用本文:

丁俊健，谈士力，宋晓峰，孙亚杰. 基于BP神经网络的ETO产品配置设计方法[J]. 工程设计学报, 2007, 14(3): 199-203.

DING Jun-Jian,TAN Shi-Li,SONG Xiao-Feng,SUN Ya-Jie. Configuration design based on BP neural network for ETO product[J]. Chinese Journal of Engineering Design, 2007, 14(3): 199-203.

链接本文:

https://www.zjujournals.com/gcsjxb/CN/    或    https://www.zjujournals.com/gcsjxb/CN/Y2007/V14/I3/199

[1] 刘春青, 王文汉. 基于人工神经网络-遗传算法的展成法球面精密磨削参数优化[J]. 工程设计学报, 2019, 26(4): 395-402.
[2] 郝志勇, 刘伟, 夏玮, 闫闯. 基于BP神经网络的吸运风机故障诊断[J]. 工程设计学报, 2012, 19(1): 57-60.
[3] 史俊友, 苏传生, 翟红岩. 不规则零件优化排样的神经网络混合优化算法[J]. 工程设计学报, 2009, 16(4): 271-275.
[4] 袁曾燕, 芮延年, 赵葵, 陈欢. 基于压电理论的悬索桥工作状况智能监测与诊断方法[J]. 工程设计学报, 2007, 14(6): 453-456.
[5] 窦毅芳, 刘飞, 张为华. 响应面建模方法的比较分析[J]. 工程设计学报, 2007, 14(5): 359-363.