反向工程几何建模自动化系统

反向工程是利用实物模型测得的数据，构造ＣＡＤ模型，继而进行分析制造，几何建模是反向工程的关键技术，目前反向工程几何建模存在以下不足之处：（１）通用性差；（２）交互操作多；（３）大自然曲面拟合能力差；（４）系统集成度低。针对以上缺点，提出了反向工程几何建模自动化系统，利用柯西（Ｋｏｈｏｎｅｎ）自组织特征映射人工神经网络进行区域分割；利用具有特殊基函数的人工神经网络实现曲面几何参数的提取，网络仅值代表

Reverse-Engineering Automatic Geometry Modelling System

The existing reverse- engineering geometry modelling ( REGM) system has some shortcomings: 1 requiring certain data formats( slice data,or ramge data,or grid data,) 2 too much inter- actions;3 disable to process large data of free- form surface;4 low integration degree.This paper discussed an REGM automatic system,which overcomes the disadvantages of the present reverse- engineering. It intro- duced systematically the applications of artificial neural network in reverse- engineering:1 segmentation by Kohonen self- organizing feature map( SOFM) metwork;2 a new approach called the adaptive basis function network is developed and investigated for the curve and surface fitting process.The control points of B- spline basis functions are defined as the weights of the network;3expressing CAD model by SOFM's topology preserving mapping.