| 基于RBF神经网络的复杂曲面反求数据修补 |
| |
| 引用本文： | 李宇鹏,罗里荣,匡梅兰.基于RBF神经网络的复杂曲面反求数据修补[J].中国机械工程,2006(Z2). |
| |
| 作者姓名： | 李宇鹏 罗里荣 匡梅兰 |
| |
| 作者单位： | 燕山大学，钢铁研究总院，燕山大学 秦皇岛，066004，北京，100081，秦皇岛，066004 |
| |
| 摘 要： | 复杂曲面反求过程中,原始数据的缺损直接影响3D网格模型逼近目标曲面的精度。介绍了基于RBF神经网络开发的复杂曲面反求数据自动修补系统,应用以Matlab为平台开发的仿真模块对数据修补过程进行了仿真。结合曲面反求设计实例对基于RBF神经网络的数据修补系统进行了实验验证和分析,获得良好的效果。
|
| 关 键 词： | RBF神经网络 反求工程 复杂曲面 数据修补 |
Data Modification of Complicated Camber Reverse Based on RBF Neural Network |
| |
| Li Yupeng Luo Lirong Kuang Meilan .Yanshan University,Qinhuangdao,Hebei, .General academy of steel research China of,Beijing.Data Modification of Complicated Camber Reverse Based on RBF Neural Network[J].China Mechanical Engineering,2006(Z2). |
| |
| Authors: | Li Yupeng Luo Lirong Kuang Meilan Yanshan University Qinhuangdao Hebei General academy of steel research China of Beijing |
| |
| Affiliation: | Li Yupeng~1 Luo Lirong~2 Kuang Meilan~1 1.Yanshan University,Qinhuangdao,Hebei,066004 2.General academy of steel research China of,Beijing,100081 |
| |
| Abstract: | In order to reduce the deviation between 3D mesh-model and original camber which is resulted by the loss of the measure data,a radial basic function neural network was applied to repair the loss of the measurement data.The simulation programme based on Matlah language was applied to simulate repairing the measurement data.Then,the good results of the data modification method based on RBF neural network is tested by applying example of complicated camber reverse and the ex- perimental results are satisfactory. |
| |
| Keywords: | RBF neural network reverse engineering complicated camber data modification |
| 本文献已被 CNKI 等数据库收录！ |
