| 语义特征造型系统中相交特征识别技术研究 |
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| 引用本文： | 张红武,孙立镌. 语义特征造型系统中相交特征识别技术研究[J]. 哈尔滨理工大学学报, 2005, 10(1): 99-102 |
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| 作者姓名： | 张红武 孙立镌 |
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| 作者单位： | 哈尔滨理工大学,计算机与控制学院,黑龙江,哈尔滨,150080;哈尔滨理工大学,计算机与控制学院,黑龙江,哈尔滨,150080 |
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| 基金项目： | 国家自然科学基金项目(60173055) |
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| 摘 要： | 为了解决特征造型领域的相交特征识别问题，在特征的扩展型面邻接图表达方法的基础上，运用神经网络识别技术，提出了一种新的相交特征的自识别方法．该方法与传统的识别方法相比，提高了复杂特征的识别速度和准确率．
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| 关 键 词： | CAD 特征识别 扩展型面邻接图 神经网络 |
| 文章编号： | 1007-2683(2005)01-0099-04 |
| 修稿时间： | 2004-09-07 |
Recognition of Feature Interaction in Semantic Feature Modeling System |
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| ZHANG Hong-wu,SUN Li-quan. Recognition of Feature Interaction in Semantic Feature Modeling System[J]. Journal of Harbin University of Science and Technology, 2005, 10(1): 99-102 |
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| Authors: | ZHANG Hong-wu SUN Li-quan |
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| Abstract: | In order to solve the problem for recognition of intersecting feature, on the basis of feature representation with Extensive Face Adjacent Graph, the recognition method of intersecting feature with neural network is presented and feature self-organization is implemented. It provides a new method for recognition of intersecting feature. Compared with traditional methods, it improves the speed of recognition and the rate of accuracy for complicated intersecting feature. |
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| Keywords: | CAD feature recognition extensive face adjacent graph neural networks |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
