语义特征造型的特征识别策略  

Feature Recognition Strategy of Semantic Feature Modeling

作　　者：田苗苗[1,2] 

机构地区：[1]吉林师范大学信息技术学院,吉林四平136000 [2]哈尔滨理工大学测控技术与通信工程学院,黑龙江哈尔滨150080

出　　处：《廊坊师范学院学报（自然科学版）》2011年第6期24-26,共3页Journal of Langfang Normal University(Natural Science Edition)

摘　　要：特征识别是语义特征造型系统面临的一个难题。尤其是当遇到复杂的拓扑结构或是较多的特征数量时,如何提高特征识别的效率以及采取何种识别方法,成为该技术领域的热门课题之一。通过运用BAM神经网络检测技术,提出了一种全新的特征识别策略,有效解决了CAD/CAM系统的性能瓶颈问题。Recognition of feature is an important topic in feature-based system. The ways used at large about feature checking can not be use for product models with complicated to-pology and lots of features. Improving feature checking efficiency is one of the most challenge questions in the researching on features modeling technology. A new feature strategy was put forward by BAM neural network checking technology, and this method solved effectively the problem about CAD/ CAM capability limitation.

关 键 词：语义特征造型 BAM神经网络 矢量正交化 多重训练方法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]