| 人工神经网络在成组技术中的应用 |
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| 引用本文： | 魏康民.人工神经网络在成组技术中的应用[J].轻工机械,2007,25(1):81-84. |
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| 作者姓名： | 魏康民 |
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| 作者单位： | 陕西工业职业技术学院,陕西,咸阳,712000 |
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| 摘 要： | 成组技术是将设计和制造工艺上相似的各种零件和产品归并成组的一门科学。如何辨别零件的相似性并对其分组是成组技术的关键问题，成组技术是通过分类编码系统对零件进行分类的。本文以人工神经网络技术为基础，介绍了人工神经网络在成组技术中的应用。利用人工神经网络技术，先对零件进行分类编码，最后将每一个零件划分到适当的零件族中去。
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| 关 键 词： | 成组技术 人工神经网络 分类编码 |
| 文章编号： | 1005-2895(2007)01-0081-04 |
| 修稿时间： | 2006-06-05 |
Application of Artificial Neural Network in Group Technology |
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| WEI Kang-min.Application of Artificial Neural Network in Group Technology[J].Light Industry Machinery,2007,25(1):81-84. |
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| Authors: | WEI Kang-min |
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| Affiliation: | Shaanxi Polytechnic Institute ,Xianyang 712000,China |
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| Abstract: | The GT is the science which puts together various similar parts and products in design and manufacturing process to make a group.The key is how to distinguish the similarity and construct the group.The GT classify the parts by classification and coding systems.In the paper,based on the artificial neural network,the application of artificial neural network in GT is introduced.By use of artificial neural network technology,parts are first classified and coded,then,each part is put into the proper part family. |
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| Keywords: | group technology artificial neural network classification and coding |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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