| 基于神经网络技术的汽车齿轮分组研究与实践 |
| |
| 引用本文： | 盛精,苑伟政.基于神经网络技术的汽车齿轮分组研究与实践[J].武汉理工大学学报(交通科学与工程版),2007,31(2):352-355. |
| |
| 作者姓名： | 盛精 苑伟政 |
| |
| 作者单位： | 西北工业大学机电学院,西安,710072 |
| |
| 摘 要： | 针对基于具有相同工艺路线的齿轮分组问题,采用了神经网络技术解决方案.结合某汽车公司某子公司多品种齿轮的生产实际,通过对齿轮特征的分析,进行分类编码.就齿轮的自动分组问题进行神经网络设计,通过学习、训练网络,得到一个智能化的齿轮分组机制,从而确定了一种新齿轮的工艺路线.
|
| 关 键 词： | 人工神经网络 汽车齿轮 零件分组 特征 |
| 修稿时间： | 2006-10-09 |
Research and Application of Automotive Gears' Grouping Based on Neural Network Techniques |
| |
| Sheng Jing,Yuan Weizheng.Research and Application of Automotive Gears'''' Grouping Based on Neural Network Techniques[J].journal of wuhan university of technology(transportation science&engineering),2007,31(2):352-355. |
| |
| Authors: | Sheng Jing Yuan Weizheng |
| |
| Abstract: | For the gear grouping with a same processing route,neural network technology is used in the paper.First the parts are coded by analyzing their features.Then a neural network is implemented after learning and training.An intelligent mechanism of gear grouping is set up.As a result,the research provides a kind of new method for the technology design,technology equipment design and their management in enterprises. |
| |
| Keywords: | artificial neural network automotive gear part grouping part feature |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
