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基于径向基函数神经网络的二维零件图特征识别 被引量:3

Features Recognitioning of 2-D Part Drawing Based on RBF Neural Network
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摘要 文章研究用径向基函数神经网络识别二维零件图的形状特征信息。提出了零件图扩展属性矩阵的概念及求法,对AutoCADR2000进行了二次开发,完善了笔者开发的二维回转类零件图特征识别和提取系统,具有一定的理论和实用价值。 The paper gives a new approach to solve the problem of features recognitioning and extracting form 2D part drawing by means of two layers RBF neural network.It brings forward a concept and arithmetic of part drawing expand property matrix.It develops a system recognitioning and extraction features form 2D revolution part drawing to by means of developing AutoCAD R2000 applications.Those works have higher theoretical and practical value.
出处 《计算机工程与应用》 CSCD 北大核心 2005年第1期61-63,共3页 Computer Engineering and Applications
基金 重庆工学院青年基金
关键词 径向基函数神经网络 二维零件图 特征识别 RBF Neural Network,2D part drawing,features recognitioning
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